AGI MCP Server
Provides persistent memory capabilities for AI systems through a vector-enhanced database that stores episodic, semantic, and procedural memories across conversations.
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What it does
- Store episodic memories with temporal context
- Retrieve memories using vector similarity search
- Organize memories through thematic clustering
- Track identity and worldview persistence
- Manage memory decay based on importance
- Create graph-based memory relationships
Best for
AI systems requiring long-term conversation continuityChatbots that need to remember user preferences and historyAI agents building persistent knowledge bases
Multiple memory types (episodic, semantic, procedural)Requires Docker and PostgreSQL setupGraph-enhanced vector database
