crewmemory-mcp

Purpose: Sharing persistent context and memory across AI coding agents and development sessions.

Inferred · not functionally tested

Audience: developers using AI coding agents

Inferred · not functionally tested

Functions: agents, collaboration

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Memory & skills space, crewmemory-mcp takes a focused approach. Inferred · not functionally tested: It focuses on sharing persistent context and memory across AI coding agents and development sessions. Inferred · not functionally tested: It is built as an open-source project for developers using AI coding agents. Basis unknown · not verified: crewmemory-mcp is open source under the MIT license. Basis unknown · not verified: crewmemory-mcp is available on the command line and API, and it can be self-hosted.

GIGAParviz builds and maintains crewmemory-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 11 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are Shared Memory, Persistent Context, and MCP Server. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.