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ClawMem

Persistent local memory and context recall for coding sessions

Turns markdown notes, project docs, and past conversations into searchable long-term memory for coding agents. Automatically surfaces relevant context on every prompt, captures decisions, and generates session handoffs without manual note-taking. Runs fully on-device with no API keys, eliminating lost context between sessions and repeated explanations.
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npx skills add yoloshii/ClawMem --all -g -y
Available:

Tells the agent how to install and run ClawMem, when to rely on automatic context hooks versus making targeted memory search calls, and how to route different question types to the right retrieval tool.

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clawmem

Provide local embedded search and retrieval for MCP-compatible AI agents.

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Frequently Asked Questions

FAQPage Schema
How to install ClawMem?▼

Run `npx skills add yoloshii/ClawMem --all -g -y` in your terminal to install the skill globally. Then bootstrap a vault with `clawmem bootstrap ~/notes --name notes` to index your notes and enable hooks.

How to give a coding agent long-term memory?▼

ClawMem indexes your notes and docs into a local vault, then automatically injects relevant context into every prompt via hooks. Decisions, preferences, and session handoffs are captured and recalled across sessions.

Does ClawMem need cloud API keys or a GPU?▼

No. It runs fully on-device with local models that auto-download on first use, and works on CPU with no GPU required. A dedicated GPU or llama-server setup is optional for better speed.

Does ClawMem work with Claude Code and OpenClaw?▼

Yes. It integrates via Claude Code hooks and MCP tools, a native OpenClaw plugin, and a Hermes MemoryProvider plugin, all sharing the same local vault.

How does ClawMem find past decisions?▼

It combines keyword search, semantic vector search, intent classification, and graph traversal to answer questions like why a decision was made or what changed since last session.

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