Universal persistent memory and knowledge retrieval layer for AI agents and LLMs.
Memwyre is an MCP integration. Universal persistent memory and knowledge retrieval layer for AI agents and LLMs.
The registry lists a streamable-http connection at https://server.memwyre.tech/mcp/. The endpoint declares these request headers: Authorization.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 1.0.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related knowledge & memory MCP servers for tools that cover the same kind of work.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Integrate search grounded Gemini output into your workflow.
Access GitHub repos, npm/PyPI packages, Stack Overflow, arXiv, and Google Scholar
Knowledge management MCP server for stdlib and specs
An Model Context Protocol server that gives any MCP-compatible AI client persistent memory — documents, notes, conversations, and files stored across organized memory buckets with semantic search.…