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VersatlyPersistent memory for AI agents
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ClawVault addresses AI agent "context death" by providing a local-first, structured memory system. It uses markdown as its storage primitive, offering human-readable, git-friendly, and graph-aware context retention between sessions, preventing data loss and enhancing agent understanding.
How It Works
This system uses a markdown-native, local-first architecture for data privacy and no vendor lock-in. It auto-generates a knowledge graph from wiki-links/frontmatter for richer context retrieval. Session resilience is achieved via checkpoint/recovery primitives. ClawVault is built around 8 core primitives (Goals, Agents, State Space, etc.) mapping to its CLI commands and vault structure for coherent memory management.
Quick Start & Requirements
Install via npm: npm install -g clawvault and npm install -g github:tobi/qmd. Requires Node.js 18+ and qmd on PATH. LLM API keys (Anthropic, OpenAI, etc.) needed for advanced features. Setup estimated at 5 minutes. Docs: clawvault.dev, npm: npmjs.com/package/clawvault.
Highlighted Details
planning, incident).Maintenance & Community
Features 6 external contributors and 20+ merged PRs. Active development since February 2026. Details on GitHub.
Licensing & Compatibility
Released under the MIT license, permitting commercial use and closed-source linking.
Limitations & Caveats
Requires careful integration between MEMORY.md and the vault. Benchmark scores indicate competitive but not leading performance in all areas, particularly memory retention and context retrieval.
5 hours ago
Inactive
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