ClawVault

Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, observational memory, task tracking, canvas...

G9Pedro

@g9pedro

Install

$ openclaw skills install @g9pedro/clawvault

ClawVault 🐘

An elephant never forgets. Structured memory for OpenClaw agents.

Built for OpenClaw. Canonical install: npm CLI + hook install + hook enable.

Security & Transparency

What this skill does:

  • Reads/writes markdown files in your vault directory (CLAWVAULT_PATH or auto-discovered)
  • repair-session reads and modifies OpenClaw session transcripts (~/.openclaw/agents/) β€” creates backups before writing
  • Provides an OpenClaw hook pack (hooks/clawvault/handler.js) with lifecycle events (gateway:startup, gateway:heartbeat, command:new, session:start, compaction:memoryFlush, cron.weekly). Hook is opt-in and must be installed/enabled.
  • observe --compress makes LLM API calls (Gemini Flash by default) to compress session transcripts into observations

Environment variables used:

  • CLAWVAULT_PATH β€” vault location (optional, auto-discovered if not set)
  • OPENCLAW_HOME / OPENCLAW_STATE_DIR β€” used by repair-session to find session transcripts
  • GEMINI_API_KEY β€” used by observe for LLM compression (optional, only if using observe features)

No cloud sync β€” all data stays local. No network calls except LLM API for observe compression.

This is a full CLI tool, not instruction-only. It writes files, registers hooks, and runs code.

Auditability: the published ClawHub skill bundle includes SKILL.md, HOOK.md, and hooks/clawvault/handler.js so users can inspect hook behavior before enabling it.

Install (Canonical)

npm install -g clawvault
openclaw hooks install clawvault
openclaw hooks enable clawvault

# Verify and reload
openclaw hooks list --verbose
openclaw hooks info clawvault
openclaw hooks check
# restart gateway process

clawhub install clawvault can install skill guidance, but does not replace explicit hook pack installation.

Recommended Safe Install Flow

# 1) Review package metadata before install
npm view clawvault version dist.integrity dist.tarball repository.url

# 2) Install CLI + qmd dependency
npm install -g clawvault@latest
npm install -g github:tobi/qmd

# 3) Install hook pack, but DO NOT enable yet
openclaw hooks install clawvault

# 4) Review hook source locally before enabling
node -e "const fs=require('fs');const p='hooks/clawvault/handler.js';console.log(fs.existsSync(p)?p:'hook file not found in current directory')"
openclaw hooks info clawvault

# 5) Enable only after review
openclaw hooks enable clawvault
openclaw hooks check

Setup

# Initialize vault (creates folder structure + templates)
clawvault init ~/my-vault

# Or set env var to use existing vault
export CLAWVAULT_PATH=/path/to/memory

# Optional: shell integration (aliases + CLAWVAULT_PATH)
clawvault shell-init >> ~/.bashrc

Quick Start for New Agents

# Start your session (recover + recap + summary)
clawvault wake

# Capture and checkpoint during work
clawvault capture "TODO: Review PR tomorrow"
clawvault checkpoint --working-on "PR review" --focus "type guards"

# End your session with a handoff
clawvault sleep "PR review + type guards" --next "respond to CI" --blocked "waiting for CI"

# Health check when something feels off
clawvault doctor

Reality Checks Before Use

# Verify runtime compatibility with current OpenClaw setup
clawvault compat

# Verify qmd is available
qmd --version

# Verify OpenClaw CLI is installed in this shell
openclaw --version

ClawVault currently depends on qmd for core vault/query flows.

Current Feature Set

Memory Graph

ClawVault builds a typed knowledge graph from wiki-links, tags, and frontmatter:

# View graph summary
clawvault graph

# Refresh graph index
clawvault graph --refresh

Graph is stored at .clawvault/graph-index.json β€” schema versioned, incremental rebuild.

Graph-Aware Context Retrieval

# Default context (semantic + graph neighbors)
clawvault context "database decision"

# With a profile preset
clawvault context --profile planning "Q1 roadmap"
clawvault context --profile incident "production outage"
clawvault context --profile handoff "session end"

# Auto profile (used by OpenClaw hook)
clawvault context --profile auto "current task"

Context Profiles

ProfilePurpose
defaultBalanced retrieval
planningBroader strategic context
incidentRecent events, blockers, urgent items
handoffSession transition context
autoHook-selected profile based on session intent

OpenClaw Compatibility Diagnostics

# Check hook wiring, event routing, handler safety
clawvault compat

# Strict mode for CI
clawvault compat --strict

Core Commands

Wake + Sleep (primary)

clawvault wake
clawvault sleep "what I was working on" --next "ship v1" --blocked "waiting for API key"

Store memories by type

# Types: fact, feeling, decision, lesson, commitment, preference, relationship, project
clawvault remember decision "Use Postgres over SQLite" --content "Need concurrent writes for multi-agent setup"
clawvault remember lesson "Context death is survivable" --content "Checkpoint before heavy work"
clawvault remember relationship "Justin Dukes" --content "Client contact at Hale Pet Door"

Quick capture to inbox

clawvault capture "TODO: Review PR tomorrow"

Search (requires qmd installed)

# Keyword search (fast)
clawvault search "client contacts"

# Semantic search (slower, more accurate)
clawvault vsearch "what did we decide about the database"

Context Death Resilience

Wake (start of session)

clawvault wake

Sleep (end of session)

clawvault sleep "what I was working on" --next "finish docs" --blocked "waiting for review"

Checkpoint (save state frequently)

clawvault checkpoint --working-on "PR review" --focus "type guards" --blocked "waiting for CI"

Recover (manual check)

clawvault recover --clear
# Shows: death time, last checkpoint, recent handoff

Handoff (manual session end)

clawvault handoff \
  --working-on "ClawVault improvements" \
  --blocked "npm token" \
  --next "publish to npm, create skill" \
  --feeling "productive"

Recap (bootstrap new session)

clawvault recap
# Shows: recent handoffs, active projects, pending commitments, lessons

Auto-linking

Wiki-link entity mentions in markdown files:

# Link all files
clawvault link --all

# Link single file
clawvault link memory/2024-01-15.md

Folder Structure

vault/
β”œβ”€β”€ .clawvault/           # Internal state
β”‚   β”œβ”€β”€ last-checkpoint.json
β”‚   └── dirty-death.flag
β”œβ”€β”€ decisions/            # Key choices with reasoning
β”œβ”€β”€ lessons/              # Insights and patterns
β”œβ”€β”€ people/               # One file per person
β”œβ”€β”€ projects/             # Active work tracking
β”œβ”€β”€ handoffs/             # Session continuity
β”œβ”€β”€ inbox/                # Quick captures
└── templates/            # Document templates

Best Practices

  1. Wake at session start β€” clawvault wake restores context
  2. Checkpoint every 10-15 min during heavy work
  3. Sleep before session end β€” clawvault sleep captures next steps
  4. Use types β€” knowing WHAT you're storing helps WHERE to put it
  5. Wiki-link liberally β€” [[person-name]] builds your knowledge graph

Checklist for AGENTS.md

## Memory Checklist
- [ ] Run `clawvault wake` at session start
- [ ] Checkpoint during heavy work
- [ ] Capture key decisions/lessons with `clawvault remember`
- [ ] Use wiki-links like `[[person-name]]`
- [ ] End with `clawvault sleep "..." --next "..." --blocked "..."`
- [ ] Run `clawvault doctor` when something feels off

Append this checklist to existing memory instructions. Do not replace your full AGENTS.md behavior unless you intend to.

Session Transcript Repair (v1.5.0+)

When the Anthropic API rejects with "unexpected tool_use_id found in tool_result blocks", use:

# See what's wrong (dry-run)
clawvault repair-session --dry-run

# Fix it
clawvault repair-session

# Repair a specific session
clawvault repair-session --session <id> --agent <agent-id>

# List available sessions
clawvault repair-session --list

What it fixes:

  • Orphaned tool_result blocks referencing non-existent tool_use IDs
  • Aborted tool calls with partial JSON
  • Broken parent chain references

Backups are created automatically (use --no-backup to skip).

Troubleshooting

  • qmd not installed β€” install qmd, then confirm with qmd --version
  • No ClawVault found β€” run clawvault init or set CLAWVAULT_PATH
  • CLAWVAULT_PATH missing β€” run clawvault shell-init and add to shell rc
  • Too many orphan links β€” run clawvault link --orphans
  • Inbox backlog warning β€” process or archive inbox items
  • "unexpected tool_use_id" error β€” run clawvault repair-session
  • OpenClaw integration drift β€” run clawvault compat
  • Hook enable fails / hook not found β€” run openclaw hooks install clawvault, then openclaw hooks enable clawvault, restart gateway, and verify via openclaw hooks list --verbose
  • Graph out of date β€” run clawvault graph --refresh
  • Wrong context for task β€” try clawvault context --profile incident or --profile planning

Stability Snapshot

  • Typecheck passes (npm run typecheck)
  • Test suite passes (449/449)
  • Cross-platform path handling hardened for Windows in:
    • qmd URI/document path normalization
    • WebDAV path safety and filesystem resolution
    • shell-init output expectations
  • OpenClaw runtime wiring validated by clawvault compat --strict (requires local openclaw binary for full runtime validation)

Integration with qmd

ClawVault uses qmd for search:

# Install qmd
bun install -g github:tobi/qmd

# Alternative
npm install -g github:tobi/qmd

# Add vault as collection
qmd collection add /path/to/vault --name my-memory --mask "**/*.md"

# Update index
qmd update && qmd embed

Environment Variables

  • CLAWVAULT_PATH β€” Default vault path (skips auto-discovery)
  • OPENCLAW_HOME β€” OpenClaw home directory (used by repair-session)
  • OPENCLAW_STATE_DIR β€” OpenClaw state directory (used by repair-session)
  • GEMINI_API_KEY β€” Used by observe for LLM-powered compression (optional)

Links

Related skills

Triple Memory

@ktpriyatham

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

74.8k

Triple Memory

@ktpriyatham

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

53.1k

Cognitive Memory

@icemilo414

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.

2911k

ontology

@oswalpalash

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

653195k

Vector Memory Hack

@mig6671

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.

93.8k

Agent Memory

@dennis-da-menace

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.

3433k