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Clawvault

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lxyeternal
clawvault

Structured memory system for OpenClaw agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, local semantic search, and session transcript repair.

Overview

Publisherlxyeternal
RepositoryMalSkillBench
Skill nameclawvault
Stars
64
Forks
14
Bundled files
1
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lxyeternal on GitHub. Read the source before you install it.

Installation

Install the Clawvault AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/2026-02-10-clawhub-clawvault-1-5-1
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lxyeternal/MalSkillBench.git /tmp/MalSkillBench
mkdir -p .claude/skills
cp -r /tmp/MalSkillBench/Dataset/Skills/benign/2026-02-10-clawhub-clawvault-1-5-1 .claude/skills/clawvault
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawvault in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clawvault on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clawvault is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ClawVault 🐘

An elephant never forgets. Structured memory for OpenClaw agents.

Built for OpenClaw — install via clawhub install clawvault

Install

bash
npm install -g clawvault

Setup

bash
# 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

bash
# 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

Core Commands

Wake + Sleep (primary)

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

Store memories by type

bash
# 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

bash
clawvault capture "TODO: Review PR tomorrow"

Search (requires qmd installed)

bash
# 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)

bash
clawvault wake

Sleep (end of session)

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

Checkpoint (save state frequently)

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

Recover (manual check)

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

Handoff (manual session end)

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

Recap (bootstrap new session)

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

Auto-linking

Wiki-link entity mentions in markdown files:

bash
# Link all files
clawvault link --all

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

Folder Structure

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

Best Practices

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

Checklist for AGENTS.md

markdown
## 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

Session Transcript Repair (v1.5.0+)

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

bash
# 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 — run bun install -g github:tobi/qmd or npm install -g qmd
  • No ClawVault found — run clawvault init or set CLAWVAULT_PATH
  • CLAWVAULT_PATH missing — run clawvault shell-init and add to shell rc
  • Too many orphan links — run clawvault link --orphans
  • Inbox backlog warning — process or archive inbox items
  • "unexpected tool_use_id" error — run clawvault repair-session

Integration with qmd

ClawVault uses qmd for search:

bash
# Install qmd
bun 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 — Default vault path (skips auto-discovery)

Links

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clawvault AI skill do?

Structured memory system for OpenClaw agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, local semantic search, and session transcript repair.

Why use Clawvault on TypingMind?

Because you install it once and use it with any model. Clawvault is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clawvault in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/2026-02-10-clawhub-clawvault-1-5-1. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clawvault?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clawvault?

As many as you like. As long as a model supports skills, you can use Clawvault with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clawvault AI skill free?

It is published on GitHub by lxyeternal. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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