A high-performance MCP server providing a 4-tier cognitive memory architecture with persistence, decay, and on-chain verification.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clude-memory-mcp
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clude-memory-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Clude Memory MCP is a sophisticated memory layer for AI agents, inspired by the Stanford Generative Agents architecture. It implements a comprehensive 4-tier cognitive system—episodic, semantic, procedural, and self-model—built on Supabase and pgvector. By integrating this into your Openclaw Skills library, agents can maintain long-term context, learn behaviors, and retain knowledge across sessions with realistic forgetting curves and Hebbian association graphs.
To get started with this skill, install the package via npm:
npm install clude-bot
You must have a Supabase project ready. Set the following environment variables:
SUPABASE_URL: Your project URL.SUPABASE_SERVICE_KEY: Your service role key.Finally, execute the provided supabase-schema.sql in your Supabase SQL editor to initialize the pgvector tables.
The skill organizes data into a 4-tier hierarchy with specific decay characteristics:
| Memory Type | Purpose | Decay Rate |
|---|---|---|
| Episodic | Specific events and interactions | 7% / day |
| Semantic | General facts and knowledge | 2% / day |
| Procedural | Instructions and behaviors | 3% / day |
| Self-Model | Agent identity and core traits | 1% / day |
All entries include content, summary, tags, and importance scores (0-1).
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