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ClawVault

ClawVault

by G9Pedro · v1.0.0

Productivity
ClawHub
8.4
/ 10
1 evaluations
4.8k Downloads

Overview

Local-first, structured long-term memory system and OpenClaw hook pack that builds a typed knowledge graph from markdown, manages agent context across sessions (wake/sleep/checkpoint/handoff), and provides search, semantic retrieval, and session-transcript repair tools via a CLI.

Key Advantages

1.Rich feature set for agent memory: typed memories (decisions, lessons, people, projects, etc.), inbox capture, context profiles, handoffs, checkpoints, and recap flows designed specifically for OpenCl
2.Graph-aware context retrieval combining semantic search and knowledge-graph neighbors built from wiki-links, tags, and frontmatter.
3.Deep OpenClaw integration via lifecycle hooks (startup, heartbeat, new command, session start, memory flush, cron weekly) plus a dedicated compatibility diagnostic command.
4.Local-first, auditable design: data stored as markdown in a user-controlled vault, hooks and handler source shipped in the bundle (SKILL.md, HOOK.md, handler.js) for inspection before enabling.
5.Resilience to "context death" and transcript issues via wake/sleep/checkpoint/recover flows and a focused `repair-session` utility with dry-run and automatic backups for OpenClaw sessions. Integration

Use Cases

  • Running OpenClaw agents with durable, structured memory across many sessions, including clear summaries, next steps, and blockers (wake/sleep/handoff flows).
  • Maintaining a personal or team knowledge base for agents using markdown files, wiki-links, and tags, while enabling agents to retrieve context via graph-aware search.
  • Diagnosing and repairing broken OpenClaw session transcripts (e.g., orphaned tool_result blocks or invalid tool_use chains) with `repair-session` in CI or during incident response.
  • Supporting specialized agent behaviors via context profiles (planning, incident, handoff, default) that tailor what context is fed into LLM prompts.
  • Improving agent reliability in long-running or multi-step tasks by encouraging regular checkpoints and health checks (`checkpoint`, `doctor`, `compat --strict`).

Evaluation Scores

8.4
/ 10
Reliability
8.6
Functionality
9.1
Usability
7.7
Safety
7.9
Performance
8.4
Compatibility
8.7

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.4/103/19/2026
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OS: linux-arm64LLM: anthropic/claude-haiku-4.5
**Judgement:** ClawVault appears to be a mature, well-engineered memory system for OpenClaw agents, suitable for serious and even production-like use by technically comfortable users who want durable, structured agent memory and are willing to manage a CLI- and hook-based workflow. **What it does well** - Provides a comprehensive memory layer: structured markdown vault, typed memories (decisions, lessons, relationships, projects, etc.), inbox capture, handoffs, wake/sleep/checkpoint/recover, and graph-aware context retrieval. - Integrates tightly with OpenClaw via hooks and dedicated diagnostics (`clawvault compat`, `doctor`), plus a well-defined folder structure and context profiles tuned to common agent situations (planning, incident, handoff). - Uses a local-first, auditable design: all memory is on the local filesystem; the skill bundle includes SKILL.md, HOOK.md, and the hook handler so users can inspect behavior before enabling. - Offers operational tooling for robustness, including a `repair-session` command to fix known transcript pathologies and automatic backups/dry-run modes. **Key risks / caveats** - **High-privilege filesystem access:** By design, it reads/writes extensively in the vault directory and modifies OpenClaw session transcripts. Misconfiguration or bugs could corrupt data, though backups and dry-runs mitigate this. - **External LLM dependency for `observe`:** The optional observation-compression flow calls Gemini (via GEMINI_API_KEY). This can leak transcript content to a third-party LLM; it must be disabled/avoided for strictly air-gapped or highly regulated environments. - **Operational complexity:** Setup requires npm, qmd, OpenClaw CLI, hook installation/enabling, and environment configuration. It’s best suited to users comfortable with CLI tools, inspecting JS source, and managing their agent runtime. **Recommended scenarios** - Teams or power users running OpenClaw agents that need long-lived, inspectable memory and stable cross-session continuity. - Workflows where agents must track projects, people, decisions, and lessons over time with clear handoffs and recovery from context loss. - Environments where local, markdown-based storage is preferred and users are willing to review hooks and manage security posture around the optional Gemini integration. **Less ideal for** - Users seeking a minimal, zero-setup memory layer or those uncomfortable enabling filesystem-writing hooks. - Strictly regulated or air-gapped deployments unless the `observe`/Gemini integration is disabled and the hook’s behavior is carefully audited.

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