MemGPT
This TypeScript-based MCP server implements a memory system for LLMs, enabling conversation history management across multiple providers. Developed as an open-source project, it offers tools for chatting, retrieving and clearing memory, and switching between LLM providers and models. The implementation supports OpenAI, Anthropic, OpenRouter, and Ollama, with a focus on the latest Claude models. It uses SQLite for persistent storage and includes features like unlimited memory retrieval. This server is particularly useful for building AI assistants that require long-term memory, multi-provider flexibility, and seamless model switching, making it suitable for applications in customer support, content creation, and interactive AI experiences.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/vic563/memgpt-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve MemGPT from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.