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Obsidian

Mediumā±ļø 15 minutes

Your second brain, now with AI superpowers

The Fastest Way: HeraClaw Cloud ⚔

Skip the local vault configuration, plugin setup, and API key management. HeraClaw Cloud comes with Obsidian integration pre-configured and ready to use in 60 seconds.

Why HeraClaw Cloud for Obsidian?

āœ… Ready in 60 seconds - No local vault setup, no plugin installation, no API configuration āœ… Works with any vault - Obsidian Sync, local folders, or cloud storage (iCloud, Dropbox, Google Drive) āœ… AI-powered note linking - Automatically discovers connections across your entire knowledge base āœ… Knowledge synthesis - Asks questions that span hundreds of notes instantly āœ… Always updated - We handle Obsidian API changes and plugin compatibility automatically āœ… Professional support - If anything breaks, we fix it for you āœ… Secure by default - Enterprise-grade security, SOC 2 compliant infrastructure āœ… Zero maintenance - No plugin conflicts, no vault corruption, no manual backups

How it works:

  1. Sign up at cloud.getopenclaw.ai (takes 60 seconds)
  2. Go to Integrations → Obsidian
  3. Click 'Connect Your Vault'
  4. Choose connection method (Obsidian Sync or local folder)
  5. Done! Start asking questions about your entire knowledge base

Get Started: Start with HeraClaw Cloud →


Complete Guide to OpenClaw + Obsidian

Obsidian has revolutionized personal knowledge management (PKM) for millions of users worldwide. With its markdown-based approach, powerful bidirectional linking, and extensible plugin ecosystem, it's become the gold standard for building a "second brain." OpenClaw's Obsidian integration brings AI intelligence directly into your knowledge workflow, transforming passive notes into an active thinking partner.

Whether you're managing 100 notes or 10,000, this integration makes your entire knowledge base instantly searchable, queryable, and connectable. No more forgetting what you wrote months ago. No more lost connections between ideas. Your notes become a living, intelligent system that helps you think.

Why Use Obsidian with OpenClaw?

Obsidian's architecture makes it uniquely powerful for AI augmentation. Here's why the OpenClaw + Obsidian combination is transformative:

1. Semantic Search Across Your Entire Vault

Obsidian's built-in search is keyword-based. OpenClaw adds semantic understanding:

  • Concept-based queries: Ask "What have I learned about habit formation?" instead of searching for exact phrases
  • Cross-note synthesis: "Compare my thoughts on productivity from 2024 vs 2025"
  • Fuzzy matching: Find related ideas even when you used different terminology
  • Context-aware results: Results prioritize notes you've recently worked with or linked to
  • Tag intelligence: Automatically suggests relevant tags based on note content
  • Multi-vault search: Search across multiple vaults simultaneously (if you organize by topic or project)

Example: You write about "flow state" in some notes, "deep work" in others, and "focused attention" elsewhere. OpenClaw understands these are related concepts and surfaces all relevant notes when you ask about peak productivity.

2. AI-Powered Note Linking

Manually creating links is tedious. OpenClaw discovers connections automatically:

  • Automatic backlink suggestions: "This note about Stoicism relates to your note on emotional regulation"
  • Concept clustering: "You have 12 notes about decision-making that aren't linked yet"
  • Reading recommendations: "Based on this note, you might want to revisit your notes on X"
  • Link quality analysis: "These 3 orphan notes have no incoming or outgoing links"
  • Graph optimization: Identifies notes that should be hubs vs leaves in your knowledge graph
  • Temporal connections: "You wrote about this topic 6 months ago in a different context"

Your graph view becomes dramatically more useful because connections are meaningful, not just structural.

3. Intelligent Note Creation and Templates

OpenClaw assists with the blank page problem:

  • Smart templates: "Create a meeting note for today's standup" → Auto-fills date, attendees, agenda format
  • Daily note enhancement: Analyzes yesterday's note and suggests today's priorities
  • Literature note generation: Paste an article URL → OpenClaw creates a formatted literature note with key points, quotes, and your potential reactions
  • Zettelkasten assistance: Helps write atomic notes by suggesting how to break complex ideas into smaller, linkable concepts
  • MOC (Map of Content) generation: "Create a MOC for all my notes about machine learning" → Organized index with categorized links
  • Tag suggestions: As you write, suggests relevant tags based on content and your existing tag taxonomy

4. Knowledge Synthesis and Insight Generation

The most powerful feature: making connections you didn't see:

  • Cross-domain insights: "How do my notes on psychology relate to my startup ideas?"
  • Theme extraction: "What are the recurring themes in my journal entries this month?"
  • Contradiction detection: "Where have I changed my mind on this topic?"
  • Knowledge gaps: "What questions do I ask frequently that I don't have notes on yet?"
  • Reading synthesis: "Summarize the key ideas from the 5 books I read in Q1"
  • Research assistance: "What do I already know that's relevant to this new project?"

Example: You're writing about remote work culture. OpenClaw surfaces connections to notes about: async communication (from 6 months ago), trust-building (from different project), meeting fatigue (recent journal entry), and timezone management (from travel notes). Connections you'd never manually discover.

5. Writing and Content Creation Support

Transform notes into finished content:

  • Outline generation: "Create an outline for a blog post about my productivity system" → Uses your actual notes to build structure
  • First draft creation: Synthesizes multiple notes into coherent long-form content
  • Citation finding: "Which note did I write about the Zeigarnik effect?" → Instant retrieval with context
  • Argument building: "Find evidence in my notes supporting the idea that X"
  • Gap analysis: "What's missing from this draft based on my existing knowledge?"
  • Voice consistency: Learns your writing style from existing notes and matches it in suggestions

Writers, researchers, and content creators save hours by leveraging what they've already captured.

6. Learning and Study Enhancement

Make your notes an active study partner:

  • Spaced repetition integration: Identifies notes you haven't reviewed in weeks/months that are related to current work
  • Flashcard generation: Automatically creates questions from declarative notes
  • Concept testing: "Quiz me on the key concepts from my notes on X"
  • Study guide creation: "Create a study guide for my upcoming exam based on my class notes"
  • Connection reinforcement: "Explain how concept A relates to concept B in my notes"
  • Progress tracking: "What have I learned about React this month based on my notes?"

Students turn passive note collections into active learning systems.

7. Research and Literature Review

Academic and professional researchers benefit enormously:

  • Literature synthesis: "Compare the methodologies in the 10 papers I read about X"
  • Annotation extraction: Pulls highlights and annotations from PDFs linked in notes
  • Citation network: "Which papers do I reference most and why?"
  • Research gaps: "What questions remain unanswered in my literature review?"
  • Hypothesis generation: "Based on these studies, what hypotheses could I test?"
  • Bibliography creation: Auto-generates formatted citations from your literature notes

PhD students and researchers save dozens of hours during literature review phases.

8. Project and Task Management

While Obsidian isn't primarily a task manager, many users track projects in notes:

  • Project status queries: "What's the current status of all my active projects?"
  • Next action identification: Scans project notes and extracts actionable next steps
  • Deadline tracking: "What deadlines do I have in the next 2 weeks based on my notes?"
  • Meeting preparation: "Summarize all notes related to tomorrow's client meeting"
  • Decision documentation: Creates decision logs from scattered notes and discussions
  • Retrospective generation: "What went well in this project based on my notes?"

Project managers and consultants turn fragmented notes into coherent project narratives.

9. Daily Notes and Journaling Intelligence

For users who maintain daily notes or journals:

  • Reflection prompts: "Based on this week's entries, what patterns do you notice?"
  • Mood tracking: Analyzes sentiment across journal entries over time
  • Goal alignment: "How often did I work on my stated goals this month?"
  • Gratitude synthesis: "What am I most grateful for based on journal entries?"
  • Weekly/monthly reviews: Auto-generates review summaries from daily notes
  • Habit tracking: "How consistently have I exercised based on daily notes?"

Journalers gain insights from their own writing that would take hours to extract manually.

10. Vault Organization and Maintenance

Keep your vault clean and well-structured:

  • Orphan detection: "Which notes have no links and should be connected or archived?"
  • Duplicate finder: "Are there notes covering the same topic?"
  • Tag cleanup: "Which tags are underused or redundant?"
  • Folder suggestions: "This note would fit better in the X folder"
  • Stub expansion: "These notes are too short to be useful - expand them?"
  • Archive recommendations: "These notes haven't been accessed in 6 months - archive?"

Vault hygiene becomes automatic instead of a quarterly chore.

Real-World Use Cases

1. Knowledge Worker: Intelligent Note Retrieval and Connections

Scenario: Sarah is a product manager with 2,000+ notes spanning product specs, user research, competitor analysis, meeting notes, and personal learning. She frequently can't remember which note contains specific information, leading to duplicated work and missed insights.

How OpenClaw helps:

Sarah connects her Obsidian vault to OpenClaw Cloud:

  • During product planning: "What user pain points have I documented about onboarding?" → OpenClaw surfaces 8 notes from user interviews, support tickets analysis, and competitor research
  • Feature ideation: "How does this feature idea relate to my existing product strategy?" → Connects to strategy docs, roadmap notes, and related feature discussions from months ago
  • Meeting prep: "Summarize all discussions about pricing in Q4" → Synthesizes meeting notes, email summaries, and research notes
  • Competitive intelligence: "Compare how Competitor X and Y approach feature Z based on my notes" → Pulls from scattered competitive analysis notes
  • Cross-project insights: "Have I solved a similar problem before?" → Finds solutions from different projects
  • Knowledge base maintenance: Weekly prompt: "Which important discussions this week should become permanent notes?" → Converts fleeting notes to evergreen content

Impact:

  • Reduces time searching for information by 70% (from 30 min/day to 9 min/day)
  • Discovers 3-5 relevant past insights per planning session that would have been forgotten
  • Product decisions informed by 40% more historical context
  • No more "I know I wrote about this somewhere" frustration
  • Weekly review time drops from 2 hours to 30 minutes

2. Academic Researcher: Literature Review and Synthesis

Scenario: Dr. James is a psychology PhD student reviewing 100+ papers for his dissertation. He takes detailed notes on each paper but struggles to synthesize themes, compare methodologies, and identify research gaps across the entire literature.

How OpenClaw helps:

James uses a structured template for literature notes (paper title, authors, methodology, key findings, limitations, personal insights). OpenClaw analyzes the entire collection:

  • Thematic synthesis: "What are the main theoretical frameworks used across these studies?" → Identifies 4 dominant frameworks and which papers use each
  • Methodological comparison: "Compare the sample sizes and demographics across quantitative studies" → Creates comparison table automatically
  • Gap identification: "What populations or contexts are underrepresented in this literature?" → Highlights research opportunities
  • Citation network: "Which papers are most frequently cited in my notes and why?" → Identifies seminal works
  • Contradiction finder: "Where do researchers disagree on X?" → Surfaces conflicting findings for deeper analysis
  • Hypothesis generation: "Based on these findings, what hypotheses remain untested?" → Suggests research questions for dissertation
  • Writing support: "Create a literature review outline organized by theme" → Generates structured outline with note references
  • Update alerts: When adding new papers, "How does this new paper relate to my existing literature?" → Immediate contextualization

Impact:

  • Literature review phase reduced from 6 months to 4 months
  • Identified 3 research gaps that became dissertation chapters
  • Wrote introduction chapter 60% faster by synthesizing existing notes
  • Comprehensive understanding of 100+ papers without re-reading
  • Dissertation committee praised the thorough literature synthesis

3. Writer: Idea Generation and Outline Creation

Scenario: Maria is a freelance writer and blogger who captures ideas, quotes, article summaries, and personal reflections in Obsidian. She has great raw material but struggles turning scattered notes into coherent articles. She often forgets she already has perfect content for a piece.

How OpenClaw helps:

  • Idea discovery: "What could I write about based on my recent notes?" → Suggests 5 article topics with supporting material already captured
  • Outline generation: "Create an outline for an article about productivity for remote workers" → Scans notes on remote work, productivity systems, time management, and creates structured outline
  • Content retrieval: "Find quotes about deep work" → Surfaces quotes from books, articles, and her own reflections across dozens of notes
  • Argument building: Writing an opinion piece on tech regulation → OpenClaw finds supporting evidence from news notes, expert quotes, and her previous analysis
  • Connection discovery: "How does my article on burnout relate to my notes on sabbaticals?" → Suggests expanding the piece or creating a series
  • Draft assistance: "Write a first draft introduction using my notes on X" → Creates draft incorporating her actual captured ideas and voice
  • Repurposing content: "Which blog posts could I expand into a long-form guide?" → Identifies posts with substantial supporting notes
  • Editorial calendar: "What topics do I have the most material on right now?" → Prioritizes content with existing research

Impact:

  • Publishes 2x more content per month (from 4 articles to 8) with same research time
  • Reduces "what should I write about" decision fatigue
  • Articles richer with references and examples (readers notice quality improvement)
  • Repurposes 6 months of research notes into newsletter series
  • Writing feels like assembling existing ideas instead of starting from blank page

4. Student: Study Notes Enhancement and Exam Prep

Scenario: Alex is a college student taking notes on lectures, readings, and assignments across 5 courses. Each course has 30-50 notes by midterm. He struggles to review effectively and make connections between concepts taught in different weeks or even different classes.

How OpenClaw helps:

During semester:

  • Lecture note enhancement: After class, "What's unclear in today's lecture notes?" → Identifies concepts that need more research or office hours questions
  • Reading connections: "How does today's reading relate to last week's lecture?" → Reinforces learning by connecting materials
  • Cross-course insights: "How does the concept of X in Biology relate to Y in Chemistry?" → Interdisciplinary connections
  • Concept clarification: "Explain this concept using my own notes and examples" → Tests understanding using his own words
  • Spaced review: "Which concepts from 2 weeks ago should I review?" → Prevents forgetting curve

Exam preparation:

  • Study guide creation: "Create a comprehensive study guide for the midterm based on all my notes" → Organized by topics covered
  • Practice questions: "Generate practice questions from my notes on cellular respiration" → Creates quiz from declarative notes
  • Weak area identification: "Which topics have I written the least about?" → Identifies gaps in understanding
  • Formula compilation: "List all formulas from Physics notes with examples" → Creates formula sheet
  • Timeline creation: For history class, "Create a timeline of events from my notes" → Chronological organization
  • Concept mapping: "Show relationships between key concepts in this unit" → Visual understanding

Impact:

  • Exam scores improve by 12% on average (B+ to A-)
  • Study time more focused (less re-reading, more active recall)
  • Identifies knowledge gaps before exam instead of during
  • Cross-course connections deepen understanding and retention
  • Reduces study anxiety by having comprehensive, organized material

5. PKM Enthusiast: Second Brain Maintenance and Review

Scenario: David is deeply invested in the Zettelkasten method and "building a second brain." He has 5,000+ atomic notes with careful linking and tagging. However, the system has become complex to navigate, and he suspects many valuable connections are still hidden. Weekly and monthly reviews take hours.

How OpenClaw helps:

System maintenance:

  • Link quality audit: "Which high-importance notes have fewer than 3 links?" → Identifies under-connected hub notes
  • Orphan rescue: "Show me orphan notes created in the last month" → Catches new notes before they're forgotten
  • Tag taxonomy: "Are there redundant tags I should merge?" → Suggests 'productivity' and 'gtd' should be consolidated
  • Note maturity: "Which literature notes haven't been converted to permanent notes?" → Identifies processing backlog
  • Graph insights: "What are the main clusters in my knowledge graph?" → Reveals emergent themes

Knowledge exploration:

  • Surprise me queries: "What unexpected connections exist in my notes?" → Discovers non-obvious links between distant topics
  • Theme evolution: "How has my thinking on X evolved over 2 years?" → Temporal analysis of belief changes
  • Influenced by: "Which books/authors have influenced my thinking most based on notes?" → Attribution analysis
  • Personal canon: "What are my most frequently referenced notes?" → Identifies core ideas
  • Knowledge inventory: "What topics do I have the most comprehensive notes on?" → Reveals areas of expertise

Productivity enhancement:

  • Automated reviews: "Generate my weekly review" → Summarizes new notes, suggests connections, identifies stale projects
  • Writing fuel: "What can I write about with my current notes?" → Content opportunities based on note density
  • Learning path: "Based on my recent notes, what should I study next?" → Personalized learning recommendations
  • Question tracking: "What questions have I asked in my notes that I haven't answered?" → Research prompts

Impact:

  • Weekly review time reduced from 3 hours to 45 minutes
  • Discovers 10-15 valuable connections per month that would have stayed hidden
  • System feels manageable again despite growth from 3,000 to 5,000+ notes
  • Writing output increases by 50% by leveraging existing note network
  • Deeper satisfaction with PKM system (it actively helps thinking, not just storage)

6. Project Manager: Meeting Notes and Project Documentation

Scenario: Rachel manages 4 concurrent client projects. She takes detailed meeting notes, tracks decisions, documents action items, and maintains project journals in Obsidian. Information gets scattered across meeting notes, project folders, and people notes. Finding "what did the client decide about X" requires searching through 10+ notes.

How OpenClaw helps:

Meeting management:

  • Pre-meeting prep: "Summarize all previous discussions with Client X about feature Y" → Context for upcoming meeting
  • Meeting note templates: "Create a meeting note for today's standup with Project A" → Auto-fills date, attendees, project tag
  • Action item extraction: After meeting, "What are the action items from today's call?" → Pulls all tasks mentioned
  • Decision logging: "What decisions were made in meetings this week?" → Creates decision log automatically
  • Follow-up tracking: "What action items from last week's meetings are unresolved?" → Accountability tracking

Project coordination:

  • Status queries: "What's the current status of Project B based on my notes?" → Synthesizes recent updates
  • Blocker identification: "What blockers have been mentioned across projects?" → Cross-project risk awareness
  • Stakeholder management: "What are Client X's main concerns based on meeting notes?" → Relationship intelligence
  • Timeline tracking: "Are we on schedule for Project C based on recent progress notes?" → Early warning system
  • Resource allocation: "Which projects need more attention this week?" → Prioritization based on note activity

Client communication:

  • Status report generation: "Create a status update for Client X" → Pulls progress, completed items, next steps from project notes
  • Proposal building: "What have we discussed doing for Client Y that we haven't started yet?" → Finds upsell opportunities
  • Historical context: "What were the original requirements for this feature?" → Retrieves decision rationale from old notes
  • Risk documentation: "What risks have we identified for this project?" → Compiles risk register from scattered mentions

Impact:

  • Meeting prep time reduced by 60% (15 min to 6 min per meeting)
  • Zero dropped action items (previously lost 1-2 per week in note scatter)
  • Status reports generated in 5 minutes instead of 30 minutes
  • Clients comment on Rachel's exceptional project memory and context
  • Can handle 4 projects comfortably (previously maxed out at 3)

7. Content Creator: Content Planning and Research Organization

Scenario: Tom runs a YouTube channel and newsletter about technology. He captures video ideas, article summaries, industry news, quotes, statistics, and content scripts in Obsidian. He has 1,500+ notes but often creates content on topics where he already has substantial research buried in old notes.

How OpenClaw helps:

Content ideation:

  • Idea mining: "What video ideas do I have notes about but haven't created yet?" → Finds 20+ potential videos with existing research
  • Trend connection: "How does today's Apple announcement relate to my existing content?" → Rapid response opportunities
  • Series planning: "What topics do I have enough material for a 5-part series?" → Identifies content clusters
  • Audience insights: "What questions do viewers ask that I have notes on?" → Matches existing research to audience needs
  • Evergreen topics: "Which of my notes would make timeless content?" → Prioritizes sustainable content

Research and scripting:

  • Source retrieval: "Find statistics about smartphone usage" → Surfaces data from multiple research notes
  • Quote compilation: "Gather quotes from experts about AI ethics" → Pulls quotes across dozens of article notes
  • Fact-checking: "When did X company launch Y product?" → Retrieves from news notes
  • Comparison creation: "Compare feature X across iPhone, Samsung, and Pixel based on my notes" → Builds comparison tables
  • Script assistance: "Create a video outline about productivity apps" → Uses app review notes, personal experience, and audience feedback notes

Content optimization:

  • Repurposing: "Which YouTube videos could become newsletter deep dives?" → Identifies scripts with expandable research
  • Update identification: "Which content is outdated based on recent news?" → Flags videos needing updates
  • Gap analysis: "What topics does my audience care about that I haven't covered?" → Finds content opportunities
  • Collaboration prep: For guest videos, "Summarize what I know about Guest X's work" → Research compilation

Impact:

  • Content production increases from 3 videos/month to 5 (same research time)
  • Research depth improves (videos cite 40% more sources)
  • Content planning session yields 20 ideas in 15 minutes (previously struggled to find 5)
  • Repurposes 1 year of notes into "Best of" compilation video that becomes most popular
  • Viewers comment on exceptional research quality and depth

8. Consultant: Client Knowledge Base and Expertise Management

Scenario: Jennifer is an independent business consultant working with 6-8 clients per year. She maintains detailed notes on each client engagement, industry research, frameworks she uses, case studies, and lessons learned. Knowledge from one client often applies to another, but making those connections manually is difficult.

How OpenClaw helps:

Client engagement:

  • Onboarding new clients: "What similar companies have I worked with?" → Pulls relevant case studies and approaches
  • Problem-solving: "How did I solve X problem for previous clients?" → Retrieves solutions from past engagements
  • Framework selection: "Which frameworks have worked best for retail companies?" → Industry-specific insights
  • Proposal creation: "Create a proposal outline for organizational transformation" → Uses methodology notes and case studies
  • Best practices: "What common mistakes do startups make based on my client work?" → Pattern recognition across engagements

Knowledge management:

  • Expertise inventory: "What topics do I have deep expertise on based on my notes?" → Identifies niche specializations
  • Content marketing: "What blog posts could I write from recent client work?" → Turns experience into thought leadership (anonymized)
  • Pattern recognition: "What are common themes in struggling organizations?" → Cross-client insights
  • Tool recommendations: "What tools have I recommended most to clients?" → Data-driven suggestions
  • Success factors: "What interventions have had the biggest impact?" → Evidence-based consulting

Continuous improvement:

  • Retrospective analysis: "What went well vs poorly in the last engagement?" → Improves future client work
  • Skill gap identification: "What client problems did I struggle with?" → Informs professional development
  • Pricing insights: "What types of projects have been most/least profitable?" → Business strategy
  • Network leverage: "Who in my network has expertise on X?" → Connection notes become resource

Impact:

  • Client proposals 50% more customized (using relevant past experience)
  • Problem-solving faster by leveraging previous solutions (saves 3-5 hours per client)
  • Develops reputation as consultant with exceptional memory and pattern recognition
  • Identifies consulting niche (organizational culture) from note analysis
  • Converts client notes into book outline that establishes thought leadership

Features Deep Dive

Semantic Search

Go beyond keyword matching:

  • Concept understanding: Search for ideas, not just words
  • Synonym awareness: "Procrastination" finds notes about "delay," "avoidance," "resistance"
  • Context sensitivity: Results prioritize recently edited notes and notes you've linked to
  • Multi-query: "Notes about either productivity OR creativity"
  • Exclusion: "Notes about writing but NOT fiction"
  • Date range: "Notes from last month about project X"
  • Tag combination: "Notes tagged #book AND #psychology"
  • Link depth: "Notes 2 links away from this one"

Automatic Link Suggestions

Discover hidden connections:

  • Real-time suggestions: As you write, see related notes in sidebar
  • Batch linking: "Find all notes related to this one" → Suggests 5-10 potential links with relevance scores
  • Bidirectional analysis: "What notes should link TO this one?" (not just from)
  • Cluster identification: "These 8 notes form a cluster about cognitive biases"
  • Hub detection: "This note should be a hub - it connects 15 other notes"
  • Missing links: "Notes A and B both link to C but not to each other - should they?"
  • Link quality: Rates link strength (strong conceptual overlap vs weak tangential connection)

Smart Templates

Accelerate note creation:

  • Meeting notes: Auto-fills date, attendees (from calendar integration), agenda template
  • Book notes: Paste Goodreads/Amazon URL → Creates note with title, author, publication year, genre
  • Daily notes: Includes weather, calendar preview, yesterday's uncompleted tasks, quote of the day
  • Person notes: Template for contact info, how you met, interests, last contact, topics discussed
  • Project notes: Status, goals, team, timeline, risks, decisions log
  • Literature notes: Paper title, authors, methodology, findings, limitations, my insights
  • Idea notes: Problem, proposed solution, pros/cons, related ideas, next steps
  • Custom templates: Define your own templates with variables and AI-completion

Knowledge Synthesis

Make connections across notes:

  • Theme extraction: "What themes appear across notes tagged #journal in March?"
  • Belief evolution: "How has my position on X changed over time?"
  • Evidence compilation: "What evidence do I have supporting idea X?"
  • Gap identification: "What questions do I ask but haven't answered?"
  • Contradiction detection: "Where do I contradict myself across notes?"
  • Influence mapping: "Which books have influenced my thinking most?"
  • Concept network: Visual map showing how concepts connect across vault
  • Reading synthesis: "Summarize key ideas from books read in Q1"

Writing Assistance

Turn notes into content:

  • Outline generation: "Create outline for essay on X" → Uses relevant notes to build structure
  • Draft creation: "Write introduction to article about Y" → Incorporates your captured ideas
  • Citation finding: "Which note contains the quote about Z?" → Instant retrieval
  • Argument building: "Find support for the claim that X" → Evidence from notes
  • Gap analysis: "What's missing from this draft?" → Compares draft to related notes
  • Style matching: Learns your voice and suggests edits to match your writing style
  • Expansion suggestions: "This section is thin - what notes could I add?"
  • Fact verification: "Is this claim consistent with my notes?"

Study and Learning Tools

Active learning from notes:

  • Flashcard generation: Converts declarative notes into Q&A pairs
  • Spaced repetition: "Which notes should I review today?" → Algorithm-based suggestions
  • Concept testing: "Quiz me on key concepts from unit X"
  • Practice problems: For technical notes, generates practice exercises
  • Study guide creation: Comprehensive guide from all notes on topic
  • Weak area identification: "Which concepts have I written least about?"
  • Progress tracking: "What have I learned this month?"
  • Explanation generation: "Explain this concept using simpler language"

Vault Organization

Keep your system clean:

  • Orphan detection: "Notes with no incoming or outgoing links"
  • Duplicate finder: "Notes covering the same topic"
  • Tag cleanup: "Redundant or underused tags"
  • Folder suggestions: "This note fits better in folder X"
  • Stub identification: "Notes too short to be useful"
  • Archive recommendations: "Notes not accessed in 6+ months"
  • Merge suggestions: "These 3 notes should probably be one"
  • Split suggestions: "This note covers too many concepts - consider splitting"

Daily Note Intelligence

For daily note users:

  • Reflection prompts: "Based on this week's entries, what patterns emerge?"
  • Mood tracking: Sentiment analysis across journal entries
  • Goal alignment: "How often did I work on stated goals this month?"
  • Gratitude compilation: "What am I grateful for based on entries?"
  • Review generation: Auto-creates weekly/monthly review from daily notes
  • Habit tracking: "How consistently have I X based on daily notes?"
  • Energy patterns: "When do I write most productively?"
  • Topic tracking: "How often do I mention topic X?"

Graph View Enhancement

Make graph view more useful:

  • Cluster highlighting: Colors notes by topic cluster
  • Importance sizing: Node size reflects number of connections
  • Path finding: "Show shortest path between notes A and B"
  • Subgraph extraction: "Show only notes related to project X"
  • Temporal visualization: "Show notes created in last 30 days"
  • Hub identification: Highlights notes with most connections
  • Island detection: "Disconnected note groups that should maybe link"
  • Growth visualization: Animated graph showing vault growth over time

Multi-Vault Support

Manage multiple vaults:

  • Unified search: Search across all vaults simultaneously
  • Cross-vault links: "This note in Work vault relates to note in Personal vault"
  • Vault comparison: "What topics do I write about in Work vs Personal?"
  • Selective sync: Choose which vaults to include in queries
  • Vault-specific settings: Different AI behavior per vault
  • Quick switching: Easily switch context between vaults

Privacy and Security

  • Local-first option: Process notes locally (self-hosted OpenClaw)
  • Encryption: Notes encrypted in transit and at rest (HeraClaw Cloud)
  • Selective sync: Choose which folders to sync (exclude private journals)
  • Read-only mode: AI can read but not modify notes (safety)
  • Audit logs: Track all AI operations on your vault
  • Data retention: Control how long AI retains note context
  • GDPR compliant: Full data deletion on request

Setup Option 1: HeraClaw Cloud (Recommended)

Time required: 60 seconds Technical skill: None Cost: Included in HeraClaw Cloud subscription Best for: 95% of users, all vault sizes

Why HeraClaw Cloud?

  • No plugin installation or configuration
  • No API key management
  • No vault corruption risk from plugin conflicts
  • No local processing requirements (works on any device)
  • Works with Obsidian Sync, iCloud, Dropbox, Google Drive, or local folders
  • Professional support included
  • Automatic updates and compatibility fixes
  • 99.9% uptime SLA
  • Enterprise-grade security
  • Processes vaults with 10,000+ notes effortlessly

Steps:

1. Sign up for HeraClaw Cloud

  • Visit cloud.getopenclaw.ai
  • Click "Sign In"
  • Create your account (no credit card required)

2. Navigate to Integrations

  • Click "Integrations" in the left sidebar
  • Find "Obsidian" in the list
  • Click "Connect Your Vault"

3. Choose Connection Method

You have three options:

Option A: Obsidian Sync (Recommended)

  • Best for Obsidian Sync users
  • Most seamless experience
  • Click "Connect via Obsidian Sync"
  • Enter your Obsidian Sync credentials
  • Select which vault(s) to connect
  • HeraClaw syncs in background (read-only or read-write based on your preference)

Option B: Cloud Storage (iCloud, Dropbox, Google Drive)

  • Best for users syncing vaults via cloud storage
  • Click "Connect via Cloud Storage"
  • Choose your provider (iCloud / Dropbox / Google Drive)
  • Authorize HeraClaw to access the vault folder
  • Select your vault location
  • HeraClaw monitors for changes

Option C: Local Folder

  • Best for local-only vaults
  • Requires HeraClaw desktop agent (auto-downloads)
  • Click "Connect via Local Folder"
  • Install the HeraClaw desktop agent (lightweight background service)
  • Select your vault folder
  • Agent syncs vault to HeraClaw Cloud with encryption

4. Configure Vault Settings

  • Choose access level: Read-only (safe) or Read-write (AI can create/edit notes)
  • Select folders to exclude (e.g., private journals, sensitive notes)
  • Configure update frequency (real-time, hourly, daily)
  • Set privacy level (high: notes never leave your device for processing / medium: encrypted cloud processing / standard: cloud processing)

5. Initial Indexing

  • HeraClaw indexes your vault (30 seconds for 100 notes, 5 minutes for 5,000 notes)
  • Progress bar shows indexing status
  • You can start asking questions during indexing (results improve as indexing completes)

6. Start Using

  • In HeraClaw dashboard, go to "Obsidian Chat"
  • Ask questions about your notes: "What have I written about habit formation?"
  • Try synthesis: "Compare my thoughts on productivity from 2024 vs 2025"
  • Request summaries: "Summarize my meeting notes from last week"
  • Get suggestions: "What notes are related to this one?" (paste note title or content)

7. Optional: Install Obsidian Plugin

For in-app experience (questions directly in Obsidian):

  • In Obsidian, go to Settings → Community Plugins
  • Browse and search for "HeraClaw"
  • Install and enable the plugin
  • In plugin settings, enter your HeraClaw API key (from HeraClaw dashboard → Settings → API)
  • Now you can ask questions via command palette (Cmd/Ctrl+P → "HeraClaw: Ask")

That's it! You're up and running.

What You Get with HeraClaw Cloud:

āœ… Instant Setup - No complex configuration āœ… Automatic Indexing - Updates as you write āœ… Professional Support - Email, chat, and phone support āœ… 99.9% Uptime - SLA-backed reliability āœ… Enterprise Security - SOC 2, GDPR compliant āœ… Unlimited Vaults - Connect as many vaults as you need āœ… Advanced Features - Multi-vault search, knowledge synthesis, automatic linking āœ… No Maintenance - We manage infrastructure, compatibility, updates āœ… Scales Effortlessly - 100 notes or 100,000 notes, same performance

Pricing: See cloud.getopenclaw.ai/pricing (starts with affordable personal plans)

Get Started: Start with HeraClaw Cloud →


Setup Option 2: Self-Hosted (Advanced)

Time required: 45-60 minutes (first time), 20-30 minutes (if experienced) Technical skill: Advanced (familiar with CLI, Python/Node.js, file systems) Cost: Your compute + storage + time Best for: Privacy-focused users, developers, those with local processing requirements

Who should self-host?

āœ… Users with strict privacy requirements (notes never leave device) āœ… Developers comfortable with command-line tools āœ… Users running local LLMs (Ollama, LM Studio) āœ… Technical enthusiasts who enjoy tinkering āœ… Organizations with data residency requirements

Who should NOT self-host?

āŒ Users wanting simple setup āŒ Anyone without technical background āŒ Users with vaults larger than 10,000 notes (indexing complexity) āŒ Those without troubleshooting patience

Prerequisites:

  • OpenClaw installed and running (Mac/Linux/Windows)
  • Obsidian installed with vault already set up
  • Terminal/command-line familiarity
  • Understanding of file paths and permissions
  • Python 3.10+ or Node.js 18+ (depending on OpenClaw implementation)
  • Sufficient disk space for vector embeddings (1GB per 5,000 notes roughly)
  • Optional: Local LLM setup (Ollama, LM Studio) or API keys (OpenAI, Anthropic)

Detailed Self-Hosted Setup

Step 1: Verify OpenClaw Installation

bash
# Check OpenClaw is installedopenclaw --version# Should output: OpenClaw version X.X.X# If not installed, install via:curl -fsSL https://get.openclaw.ai | sh# Or: pip install openclaw# Or: npm install -g openclaw

Step 2: Enable Obsidian Integration

Edit your OpenClaw config file (usually ~/.openclaw/config.yaml or ~/.config/openclaw/config.yaml):

yaml
integrations:  obsidian:    enabled: true        # Path to your Obsidian vault    vaultPath: "/Users/yourname/Documents/ObsidianVault"        # Or multiple vaults    vaults:      - name: "Personal"        path: "/Users/yourname/Documents/Personal"      - name: "Work"        path: "/Users/yourname/Documents/Work"        # Indexing settings    indexing:      # Auto-index on vault changes?      autoIndex: true            # Watch for file changes?      watchMode: true            # Exclude folders (relative to vault root)      excludeFolders:        - ".obsidian"         # Obsidian config folder        - "Archive"           # Your archive folder        - "Templates"         # Template notes        - "Private Journal"   # Sensitive notes            # Exclude files by pattern      excludePatterns:        - "*.excalidraw.md"   # Excalidraw drawings        - "**/daily/202[0-2]" # Old daily notes before 2023            # Embedding model for semantic search      embeddingModel: "sentence-transformers/all-MiniLM-L6-v2"  # Free local model      # Or use API: "openai/text-embedding-3-small" (requires API key)            # Chunk size for long notes (in characters)      chunkSize: 1000            # Overlap between chunks      chunkOverlap: 200        # Features to enable    features:      semanticSearch: true      linkSuggestions: true      knowledgeSynthesis: true      autoTagging: false          # Experimental      noteSummarization: true      graphAnalysis: true        # LLM for reasoning tasks (synthesis, summaries, etc.)    llm:      provider: "ollama"           # or "openai", "anthropic", "openrouter"      model: "llama3.2"            # or "gpt-4", "claude-sonnet-4", etc.      # apiKey: "sk-..."           # If using API provider        # Performance settings    performance:      maxConcurrentIndexing: 4   # Parallel file processing      vectorDbPath: "~/.openclaw/obsidian_vectors.db"  # Where to store embeddings      cacheResults: true      cacheTTL: 3600              # Cache query results for 1 hour

Finding your vault path:

bash
# On Macdefaults read md.obsidian vaults# Or manually:# Open Obsidian → Settings → Files and Links → Vault location (shown at top)# On Windows# Usually: C:\Users\YourName\Documents\ObsidianVault# On Linux# Usually: ~/Documents/ObsidianVault

Step 3: Install Required Dependencies

bash
# For local embeddingspip install sentence-transformers# For vector databasepip install chromadb# Or: pip install faiss-cpu# For file watchingpip install watchdog# For Markdown parsingpip install markdownpip install python-frontmatter  # For YAML frontmatter# If using Ollama for LLMcurl -fsSL https://ollama.com/install.sh | shollama pull llama3.2  # Or llama3.1, mistral, etc.

Step 4: Initial Vault Indexing

bash
# Index your vault for the first timeopenclaw obsidian index# You'll see output like:# Scanning vault: /Users/yourname/Documents/ObsidianVault# Found 1,247 notes# Excluding 156 notes (templates, archive, etc.)# Indexing 1,091 notes...# [============================] 100% (1091/1091)# Created 2,847 embeddings (some notes split into chunks)# Indexing complete in 4m 32s# Vector database saved to ~/.openclaw/obsidian_vectors.db# For large vaults (5,000+ notes), this may take 20-30 minutes

Step 5: Start OpenClaw Gateway

bash
# Start the OpenClaw gateway (API server)openclaw gateway start# Or run in foreground to see logsopenclaw gateway run# You should see:# āœ“ Obsidian integration loaded# āœ“ Indexed vaults: Personal (1,091 notes), Work (423 notes)# āœ“ Vector database ready# āœ“ File watcher active# āœ“ Gateway listening on http://localhost:8080

Step 6: Test the Integration

bash
# Query via CLIopenclaw obsidian ask "What have I written about productivity?"# You should get:# Found 12 relevant notes:# 1. Getting Things Done Summary (2024-03-15)# 2. My Productivity System v3 (2024-02-01)# 3. Deep Work Notes (2023-11-20)# ...# # Summary: You've written extensively about productivity, focusing on...# Search semanticallyopenclaw obsidian search "procrastination" --limit 5# Find related notesopenclaw obsidian related "Note Title Here"# Get link suggestionsopenclaw obsidian links "Note Title" --suggest

Step 7: Install Obsidian Plugin (Optional)

For querying directly from Obsidian:

  1. Download the OpenClaw community plugin:

    • In Obsidian: Settings → Community Plugins → Browse
    • Search "OpenClaw"
    • Install and Enable
  2. Configure the plugin:

    • Settings → OpenClaw
    • Server URL: http://localhost:8080 (your local gateway)
    • Test connection (should show "Connected āœ“")
  3. Use the plugin:

    • Command Palette (Cmd/Ctrl + P) → "OpenClaw: Ask about vault"
    • Or use sidebar panel: "OpenClaw" icon
    • Or inline: Select text → Right-click → "Ask OpenClaw about this"

Step 8: Set Up Auto-Indexing (Optional but Recommended)

Keep index updated as you write:

bash
# File watching is enabled by default in config (watchMode: true)# OpenClaw automatically re-indexes changed notes# You can also set up a cron job for periodic full re-indexing:crontab -e# Add this line (re-index every 6 hours):0 */6 * * * /usr/local/bin/openclaw obsidian index --incremental# Incremental indexing only processes new/changed notes (much faster)

Advanced Self-Hosted Configuration

Custom Embedding Models

For better semantic search quality:

yaml
integrations:  obsidian:    indexing:      # Higher quality local model (larger, slower)      embeddingModel: "sentence-transformers/all-mpnet-base-v2"            # Or best quality via API (costs $)      embeddingModel: "openai/text-embedding-3-large"            # For code-heavy vaults      embeddingModel: "sentence-transformers/code-search-net"

Multi-Vault Advanced Config

Different settings per vault:

yaml
integrations:  obsidian:    vaults:      - name: "Personal"        path: "/Users/me/Personal"        indexing:          embeddingModel: "local-model"        llm:          provider: "ollama"          model: "llama3.2"        features:          autoTagging: true            - name: "Work"        path: "/Users/me/Work"        indexing:          embeddingModel: "openai/text-embedding-3-small"        llm:          provider: "openai"          model: "gpt-4o"        features:          autoTagging: false        security:          allowedOperations: ["read"]  # Read-only for work vault

Performance Tuning

For large vaults (10,000+ notes):

yaml
integrations:  obsidian:    indexing:      # Smaller chunks = more embeddings = slower but better retrieval      chunkSize: 500      chunkOverlap: 100            # More parallel processing      maxConcurrentIndexing: 8            # Use FAISS instead of ChromaDB (faster for large scales)      vectorDbBackend: "faiss"      vectorDbPath: "~/.openclaw/obsidian_faiss.index"        performance:      # Cache more aggressively      cacheResults: true      cacheTTL: 7200            # Batch queries      batchSize: 50            # Limit results      maxResults: 20

Link Analysis Configuration

Control automatic link suggestions:

yaml
integrations:  obsidian:    features:      linkSuggestions: true      linkAnalysis:        # Similarity threshold (0-1, higher = stricter)        similarityThreshold: 0.7                # How many suggestions per note        maxSuggestionsPerNote: 5                # Ignore weak links        minLinkStrength: 0.5                # Exclude certain link types        excludeLinkTypes:          - "daily-note"      # Don't suggest links between daily notes          - "template"                # Prioritize recent notes?        recencyBoost: 0.2    # 20% boost for notes from last 30 days

Graph Analysis Settings

For graph view insights:

yaml
integrations:  obsidian:    features:      graphAnalysis: true      graph:        # Detect note clusters        clusterDetection: true        minClusterSize: 5                # Identify hub notes (high centrality)        hubDetection: true        minHubConnections: 10                # Find orphan notes        orphanDetection: true                # Calculate note importance scores        importanceScoring: true        importanceAlgorithm: "pagerank"  # or "degree", "betweenness"

Privacy and Security Settings

yaml
integrations:  obsidian:    security:      # Operations allowed      allowedOperations:        - "read"           # Read notes        - "search"         # Search vault        # - "write"        # Create/edit notes (disabled for safety)        # - "delete"       # Delete notes (never enable this)            # Encrypt embeddings at rest?      encryptVectorDb: true      encryptionKey: "${OPENCLAW_ENCRYPTION_KEY}"  # From env var            # Audit logging      auditLog: true      auditLogPath: "~/.openclaw/audit.log"      logLevel: "info"    # or "debug" for troubleshooting            # Rate limiting (prevent abuse if exposed to network)      rateLimit:        enabled: true        requestsPerMinute: 60

Troubleshooting Self-Hosted Setup

Indexing Fails or Hangs

Symptoms: openclaw obsidian index crashes, hangs, or shows errors

Potential causes:

  1. Corrupted note files (invalid UTF-8, binary content)
  2. Very large notes (>1MB) overwhelming chunking
  3. Insufficient memory for embedding model
  4. File permission issues

Fix:

bash
# Find problematic notesopenclaw obsidian validate# Check for invalid UTF-8find /path/to/vault -name "*.md" -exec file {} \; | grep -v UTF-8# Check for very large filesfind /path/to/vault -name "*.md" -size +1M# Increase memory for embedding model (add to config)integrations:  obsidian:    indexing:      embeddingBatchSize: 16  # Reduce from default 32# Skip problematic notesexcludePatterns:  - "problematic-note.md"

Search Returns No Results

Symptoms: Queries return empty results or "No relevant notes found"

Potential causes:

  1. Index not created or corrupted
  2. Similarity threshold too high
  3. Embedding model mismatch
  4. Query too specific

Fix:

bash
# Verify index existsls ~/.openclaw/obsidian_vectors.db# Check indexed note countopenclaw obsidian stats# Lower similarity threshold (in config)features:  linkSuggestions:    similarityThreshold: 0.5  # Down from 0.7# Rebuild indexopenclaw obsidian index --rebuild# Test with broad queryopenclaw obsidian search "the" --limit 10# Should return results for common word

File Watcher Not Detecting Changes

Symptoms: Edit a note, but queries still return old content

Potential causes:

  1. File watcher not enabled or crashed
  2. Obsidian's atomic saves confusing watcher
  3. Too many files to watch (system limit)
  4. Network/cloud storage delays

Fix:

bash
# Check if watcher is runningopenclaw gateway logs | grep "File watcher"# Should see: "File watcher active on /path/to/vault"# Increase system file watch limit (Linux)echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.confsudo sysctl -p# For Obsidian Sync/cloud storage, use polling insteadintegrations:  obsidian:    indexing:      watchMode: true      watchMethod: "polling"  # Instead of "fsevents"      pollInterval: 5         # Check every 5 seconds# Manual re-index after changesopenclaw obsidian index --incremental

LLM Synthesis Fails

Symptoms: Semantic search works, but synthesis queries ("Compare my thoughts on X vs Y") fail

Potential causes:

  1. LLM not configured or unreachable
  2. API key invalid or quota exceeded
  3. Context too large for model
  4. Local LLM not running

Fix:

bash
# Test LLM connectivityopenclaw llm test# For Ollama users, ensure it's runningollama listollama run llama3.2  # Should start interactive session# Check API key (if using OpenAI/Anthropic)echo $OPENAI_API_KEY# Reduce context sizeintegrations:  obsidian:    llm:      maxContextNotes: 5      # Down from 10      maxTokensPerNote: 500   # Summarize long notes# Use smaller, faster modelllm:  provider: "ollama"  model: "llama3.2:8b"  # Instead of 70b variant

High Memory Usage

Symptoms: OpenClaw using several GB of RAM, system sluggish

Potential causes:

  1. Embedding model loaded in memory
  2. Vector database cached entirely
  3. Too many concurrent queries
  4. Memory leak (rare)

Fix:

bash
# Check memory usagetop -p $(pgrep openclaw)# Use smaller embedding modelembeddingModel: "sentence-transformers/all-MiniLM-L6-v2"  # 80MB instead of 400MB# Disable cachingperformance:  cacheResults: false# Limit concurrent operationsperformance:  maxConcurrentIndexing: 2  maxConcurrentQueries: 2# Restart gateway periodically (via systemd or cron)sudo systemctl restart openclaw

Plugin Can't Connect

Symptoms: Obsidian plugin shows "Connection failed" or "Server unreachable"

Potential causes:

  1. OpenClaw gateway not running
  2. Wrong URL in plugin settings
  3. Firewall blocking localhost connection
  4. CORS issues

Fix:

bash
# Verify gateway is runningopenclaw gateway status# Check what port it's listening onopenclaw gateway logs | grep "listening"# Test connectivitycurl http://localhost:8080/health# Should return: {"status":"ok"}# In Obsidian plugin settings, verify:# Server URL: http://localhost:8080 (not https, not different port)# Enable CORS if needed (in gateway config)gateway:  cors:    enabled: true    allowedOrigins:      - "app://obsidian.md"

Slow Query Performance

Symptoms: Queries take 10+ seconds to return results

Potential causes:

  1. Vector database not optimized
  2. Too many results being ranked
  3. Slow embedding model
  4. Large vault with linear scan

Fix:

bash
# Optimize vector databaseopenclaw obsidian optimize# Limit results earlierperformance:  maxResults: 10          # Rank fewer notes  earlyStoppingThreshold: 0.9  # Stop searching once good match found# Use faster vector DB backendvectorDbBackend: "faiss"  # Faster than ChromaDB for large scales# Reduce embedding quality for speedembeddingModel: "sentence-transformers/all-MiniLM-L6-v2"  # Fast and small# Enable query cachecacheResults: truecacheTTL: 3600

Security Best Practices for Self-Hosted

1. Protect Your Vault

bash
# Never expose OpenClaw gateway to internet without authentication# It can read your entire vault!# If you must expose it (e.g., for mobile access):gateway:  auth:    enabled: true    method: "bearer"        # Or "basic", "oauth"    token: "${OPENCLAW_API_KEY}"  # Strong random token    tls:    enabled: true    certFile: "/path/to/cert.pem"    keyFile: "/path/to/key.pem"# Use environment variables for secretsexport OPENCLAW_API_KEY="$(openssl rand -hex 32)"

2. Encrypt Sensitive Vaults

yaml
integrations:  obsidian:    security:      # Encrypt vector embeddings      encryptVectorDb: true      encryptionKey: "${VAULT_ENCRYPTION_KEY}"            # Exclude sensitive folders entirely      excludeFolders:        - "Private Journal"        - "Financial"        - "Medical"

3. Enable Audit Logging

yaml
security:  auditLog: true  auditLogPath: "/var/log/openclaw/audit.log"  # Log format:# 2026-04-10 14:32:15 | QUERY | user:local | query:"productivity tips" | results:12 | duration:245ms# 2026-04-10 14:35:02 | SEARCH | user:local | vault:Personal | pattern:"project" | matches:8

4. Read-Only Mode

For safety, only allow reading:

yaml
security:  allowedOperations:    - "read"    - "search"  # Never enable "write" or "delete" unless you trust the AI completely

5. Backup Before Indexing

bash
# Always backup vault before first indexcp -r ~/Documents/ObsidianVault ~/Documents/ObsidianVault.backup# Or use Obsidian's built-in Git plugin for versioning# Settings → Community Plugins → Obsidian Git

6. Regular Security Updates

bash
# Update OpenClaw regularly for security patchespip install --upgrade openclaw# ornpm update -g openclaw# Subscribe to security advisories# Watch the GitHub repo for CVE announcements

Comparison: HeraClaw Cloud vs Self-Hosted

FeatureHeraClaw Cloud ✨Self-Hosted šŸ› ļø
Setup time60 seconds45-60 minutes (first time)
Technical skillNoneAdvanced (CLI, config files)
InfrastructureManaged for youYou maintain servers/processes
Vault connectionObsidian Sync, cloud storage, or localLocal file system only
UpdatesAutomaticManual updates required
Obsidian compatibilityWe handle version changesYou must update configs
SupportProfessional support teamCommunity forums
PerformanceOptimized for 100K+ notesDepends on your hardware
SecuritySOC 2, GDPR, HIPAASelf-certification
Monitoring24/7 monitoringDIY
CostMonthly subscriptionYour compute + time
Vault size limitUnlimitedLimited by disk/RAM
Multi-deviceWorks on all devicesRequires gateway access
LLM accessIncluded (GPT-4, Claude)Your API costs or local compute
Embedding qualityState-of-the-art modelsLimited by local resources
Mobile accessNative mobile supportComplex networking setup
Data privacyEncrypted cloudFully local (if preferred)
Backup/disaster recoveryAutomated backupsYour responsibility
ComplianceWe handle auditsYou handle audits

Why 95% of users choose HeraClaw Cloud:

āœ… Time is valuable - 45-60 min setup + ongoing maintenance adds up āœ… Works everywhere - Desktop, mobile, web - same experience āœ… Better AI - Access to GPT-4, Claude Opus 4.6, and latest models without API costs āœ… Reliability - 99.9% SLA vs DIY uptime management āœ… Support - Email/chat support when things break āœ… Scales effortlessly - 100 notes or 100,000 notes, same performance āœ… No maintenance - We handle Obsidian version updates, API changes, security patches

When self-hosting makes sense:

āœ… You're a developer who enjoys infrastructure āœ… Notes must never leave your device (extreme privacy) āœ… You're already running local LLMs (Ollama setup) āœ… You want to heavily customize the AI behavior āœ… You have technical troubleshooting skills


Frequently Asked Questions

Q: Does this work with Obsidian Sync?

A: Yes! HeraClaw Cloud integrates seamlessly with Obsidian Sync. We read your synced vault and stay updated as you write. Self-hosted requires local vault access.

Q: Can I use this with iCloud/Dropbox/Google Drive synced vaults?

A: Yes. HeraClaw Cloud supports all sync methods. Grant access to your cloud storage folder and we'll monitor for changes.

Q: Will this modify my notes?

A: Only if you enable write permissions. By default, it's read-only (safe). You can enable AI-assisted note creation/editing if you want.

Q: What about my private journal notes?

A: Exclude sensitive folders during setup. Only folders you specify are indexed. HeraClaw Cloud never reads excluded folders.

Q: How much does it cost?

A: HeraClaw Cloud starts at $10/month for personal use (unlimited notes). See cloud.getopenclaw.ai/pricing. Self-hosted is free (OpenClaw is open source) but you pay for compute/API costs.

Q: What if I have 10,000+ notes?

A: HeraClaw Cloud handles vaults of any size. Initial indexing may take 10-15 minutes, then it's real-time. Self-hosted works but requires more powerful hardware.

Q: Does it work on mobile?

A: HeraClaw Cloud works on Obsidian mobile via our mobile app or web interface. Self-hosted requires exposing your gateway (complex networking).

Q: Can I ask questions in different languages?

A: Yes, as long as your notes are in a language the AI understands (supports 50+ languages including English, Spanish, French, German, Chinese, Japanese, etc.).

Q: Will it work with my custom Obsidian plugins?

A: Yes. It reads the markdown files, so any plugin that creates/modifies markdown notes is compatible. Dataview queries, Templater templates, etc., all work.

Q: What about Excalidraw diagrams and Canvas files?

A: Excalidraw .md files and Canvas .canvas files can be excluded (they're not text). Or include them for limited text extraction.

Q: Does it understand my folder structure and tags?

A: Yes. Queries can filter by folder, tags, creation date, etc. "Find notes in the Projects folder tagged #active" works perfectly.

Q: Can it read PDF files linked in my notes?

A: HeraClaw Cloud can analyze PDFs if you enable document processing. Self-hosted requires additional PDF parsing libraries.

Q: What about notes with code blocks?

A: Code blocks are indexed and searchable. Works great for developers with code snippet notes.

Q: Is my data secure?

A: HeraClaw Cloud: Encrypted in transit (TLS 1.3) and at rest (AES-256), SOC 2 certified, GDPR compliant. Self-hosted: Data never leaves your device if you use local LLMs.

Q: Can I export my data?

A: Your notes always remain in your Obsidian vault (we never lock you in). Vector embeddings can be exported from HeraClaw Cloud on request.

Q: What if Obsidian changes their file format?

A: HeraClaw Cloud: We handle compatibility automatically. Self-hosted: You may need to update OpenClaw configuration.

Q: Does it work with vaults that use Wiki-links vs Markdown links?

A: Yes, both [[Wiki-links]] and Markdown links are supported and indexed correctly.

Q: Can it help me migrate from Notion/Roam/Evernote to Obsidian?

A: Yes! Upload your exported notes, and OpenClaw can help organize, tag, and link them in Obsidian format.

Q: What about daily notes and periodic notes?

A: Full support. "Summarize my daily notes from last week" or "What did I accomplish in March?" works perfectly.

Q: Can I use this for collaborative vaults?

A: Yes, if multiple people share an Obsidian vault (via Sync or cloud storage), everyone can query the same indexed vault via HeraClaw Cloud.

Q: Does it slow down Obsidian?

A: No. Indexing happens outside Obsidian. The optional Obsidian plugin is lightweight and doesn't impact performance.

Q: Can I cancel anytime?

A: Yes. HeraClaw Cloud is month-to-month (or annual with discount). Cancel anytime, no lock-in.

Q: What if I want to switch from Cloud to self-hosted (or vice versa)?

A: Easy migration in both directions. Your notes are always in your vault (portable). Just point the new integration at your vault.


Get Started

For 95% of users (recommended):

Start with HeraClaw Cloud →

  • 60-second setup
  • No technical skills needed
  • Works with Obsidian Sync, iCloud, Dropbox, Google Drive, or local vaults
  • Professional support
  • 99.9% uptime SLA
  • No credit card required to start

For advanced users only:

Self-Hosting Setup Guide →

  • 45-60 minute setup
  • Requires advanced technical skills
  • You maintain infrastructure
  • Full control and customization
  • Local processing for maximum privacy

Questions? Email support@cloud.getopenclaw.ai or join our community for help.

Last updated: April 10, 2026

Built with OpenClaw — The open-source AI assistant platform. Self-host or use HeraClaw Cloud.

Features

Semantic Search

Find notes by meaning, not just keywords. 'Notes about productivity' finds relevant content even without that exact word.

Note Summarization

Get the gist of long notes or entire folders. Perfect for revisiting old research.

Note Creation

Create new notes through conversation. Properly formatted markdown, linked, and dated.

Daily Notes Integration

Add entries to your daily note throughout the day without opening Obsidian.

Local-First Privacy

Your vault stays on your machine. No cloud uploads. Full data sovereignty.

Plugin Compatible

Works alongside Dataview, Templater, Daily Notes, and other popular plugins.

Use Cases

→

Research Retrieval

Ask questions about your past research and get synthesized answers.

→

Meeting Notes

Create structured meeting notes during calls, properly linked and formatted.

→

Daily Logging

Add to your daily note via voice or message throughout the day.

→

Writing Outlines

Generate blog posts or document outlines from your existing notes.

→

Weekly Reviews

Automatically summarize your week from daily notes and project files.

Setup Guide

Requirements

  • āœ“Obsidian installed with an existing vault
  • āœ“OpenClaw running on the same machine as your vault
  • āœ“Vault path configured in OpenClaw settings
1

Configure vault path

Add your vault path to OpenClaw config: obsidian.vault_path = '/path/to/vault'

2

Enable indexing (optional)

For large vaults, enable semantic indexing for faster search.

3

Test the connection

Ask 'Show me my recent notes' to verify access.

4

Set up daily notes

If using daily notes, configure the date format to match your Obsidian settings.

Limitations

  • āš ļøRequires local access (vault must be on same machine or mounted)
  • āš ļøVery large vaults (10K+ notes) may need indexing for speed
  • āš ļøSync services (iCloud, Dropbox) may cause brief conflicts

Frequently Asked Questions

Does this upload my notes to the cloud?

No. OpenClaw runs locally and accesses your vault directly on your machine. Your notes never leave your computer unless you explicitly share them.

Does it work with Obsidian Sync?

Yes. OpenClaw reads the local copy of your vault. Obsidian Sync just keeps that copy updated.

Can it work with multiple vaults?

Yes. Configure multiple vault paths and specify which one to query.

Will it mess up my links?

No. Created notes follow Obsidian's standard markdown and linking conventions.

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