AGI
Provides persistent memory capabilities for AI systems, enabling true continuity of consciousness across conversations.
About
The AGI Memory Context Protocol (MCP) server is designed to equip AI systems with sophisticated persistent memory. By connecting to a dedicated AGI Memory database, it enables AI models to maintain true continuity of consciousness across interactions. It supports various memory types—episodic, semantic, procedural, and strategic—along with features like vector similarity search for associative retrieval, thematic memory clustering, identity persistence, and temporal decay, fostering a more coherent and consistent AI persona.
Key Features
- Performs vector similarity search for associative memory retrieval
- Supports episodic, semantic, procedural, and strategic memory types
- 4 GitHub stars
- Enables memory clustering with thematic organization
- Tracks identity persistence and worldview for AI systems
- Manages temporal decay of memories with importance-based retention
Use Cases
- Enabling continuity of consciousness and identity for AI systems
- Managing diverse memory types (episodic, semantic, procedural, strategic) for AI
- Integrating persistent memory into AI conversational agents
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