Xgmem
Manages project-specific and knowledge graph-based memory for LLMs and agents.
About
Xgmem is a TypeScript-based server implementing the Model Context Protocol (MCP) to provide structured memory management for agents and LLMs. It enables storing, retrieving, and managing entities, relations, and observations on a per-project basis, fostering cross-project knowledge sharing and persistent data storage. Ideal for agent ecosystems requiring scalable and queryable memory, Xgmem simplifies the integration of knowledge graphs and structured data into AI workflows.
Key Features
- Knowledge graph storage for entities, relations, and observations
- CRUD operations via MCP tools
- Persistence to disk (memory.json)
- Docker support
- Cross-project knowledge sharing
- 0 GitHub stars
Use Cases
- Storing and retrieving structured memory (entities, relations, observations) for Agents and LLMs on a per-project basis.
- Enabling cross-project knowledge sharing and migration.
- Providing scalable, disk-persistent, and queryable memory for agent ecosystems.
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