xgmem is a memory server built with TypeScript that enables project-specific and knowledge graph-based memory management. It supports storing, retrieving, and managing entities, relations, and observations across multiple projects, facilitating cross-project knowledge sharing and scalable memory solutions for AI agents and LLMs.
Added on:
Created by:
Apr 27 2025
xgmem is a memory server built with TypeScript that enables project-specific and knowledge graph-based memory management. It supports storing, retrieving, and managing entities, relations, and observations across multiple projects, facilitating cross-project knowledge sharing and scalable memory solutions for AI agents and LLMs.
Added on:
Created by:
Apr 27 2025
Meet Dhanani
Featured
What is xgmem?
xgmem functions as a centralized MCP server that manages project data through a knowledge graph structure. It allows for CRUD operations on entities, relations, and observations, which are stored persistently on disk. Ideal for AI systems and agents requiring structured memory, it supports scalable memory sharing across projects. The server can be integrated via MCP tools such as create_entities, create_relations, and read_graph, making it suitable for knowledge management, agent memory, and project data organization. Deployment options include Docker and direct TypeScript execution, with support for cross-project memory migration and scaling.
Who will use xgmem?
- AI researchers
- Developers building intelligent agents
- Organizations needing project-specific memory management
- Knowledge graph enthusiasts
- Teams implementing cross-project data sharing
How to use the xgmem?
- Step1: Install dependencies using 'npm install'
- Step2: Build the project with 'npm run build'
- Step3: Run in development mode via 'npx ts-node index.ts'
- Step4: Configure your MCP client to connect to the server
- Step5: Use MCP tools like 'create_entities' and 'read_graph' to manage memory
- Step6: Persist memory data to disk for durability
xgmem's Core Features & Benefits
The Core Features
- save_project_observations
- get_project_observations
- add_graph_observations
- create_entities
- create_relations
- delete_entities
- delete_observations
- delete_relations
- read_graph
- search_nodes
- search_all_projects
- open_nodes
- copy_memory
The Benefits
- Structured memory management with knowledge graph support
- Persistent disk storage for data durability
- Cross-project memory sharing and migration
- Flexible integration via MCP protocols
- Support for scalable, project-specific memory
xgmem's Main Use Cases & Applications
- Integrating structured memory for AI agents and chatbots
- Cross-project knowledge sharing in enterprise environments
- Building scalable memory solutions for multi-agent ecosystems
- Managing knowledge graphs for research and data analysis
FAQs of xgmem
Developer
- meetdhanani17
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