Manages project-specific and knowledge graph-based memory for LLMs and agents.
Sponsored
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
01Knowledge graph storage for entities, relations, and observations
02CRUD operations via MCP tools
03Persistence to disk (memory.json)
04Docker support
05Cross-project knowledge sharing
060 GitHub stars
Use Cases
01Storing and retrieving structured memory (entities, relations, observations) for Agents and LLMs on a per-project basis.
02Enabling cross-project knowledge sharing and migration.
03Providing scalable, disk-persistent, and queryable memory for agent ecosystems.
