pulsemcp Safe content atomic mcp-remote

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.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
PulseMCP
Author type
human
Updated
2026-04-25
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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