📡 MCP Radar

kdev1966/Handoff-CLI

Shared, persistent memory for your AI coding assistants (Claude Code, Copilot, Cursor, Gemini CLI, Codex…): a local MCP server and CLI that hand work over between tools automatically.

⭐ 5 stars
⑂ 1 forks
Python
momentum ▲ 18.7
created 2026-10-10
on radar since 2026-10-12
star trend 3 → 5 since 2026-10-12
ai-agentsai-coding-assistantai-memoryclaude-codeclicodexcontext-managementcursordeveloper-toolsgemini-cligithub-copilotmcpmcp-servermodel-context-protocolpython
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About Handoff-CLI

Handoff gives your AI coding assistants (Claude, GitHub Copilot, Cursor, Gemini, Codex…) a shared, persistent memory. When you switch from one tool to another on the same project, the next one picks up where the previous one stopped: tech stack, current state, next actions.

It runs on Windows, macOS and Linux, through the MCP standard and a command-line tool.

- At the start of a session, the assistant receives the project's memory: automatically through a hook when the tool supports it, otherwise with the memoryget tool, as the instructions written by handoff setup tell it. - Before stopping, if the code changed since the session started or since the last handoff written by an assistant, the assistant is asked once to save a handoff (memorysave). - The project is identified by its git remote (origin), so the memory follows the repository even if you move it or clone it again. Without a remote, the folder path is the identifier. - Every handoff is appended to the history: nothing is overwritten, and you can go back to an earlier state.

Handoff is published on PyPI as ai-handoff. It needs Python 3.10 or later. Two ways to install it:

If you already use a Python tool manager:

Upgrade with pipx upgrade ai-handoff (or uv tool upgrade ai-handoff).

One command that installs the latest release from PyPI, runs the setup, and also upgrades:

The script: - installs Handoff in a private virtual environment, without administrator rights or sudo; - adds the handoff command to your PATH; - on the first installation, offers two modes: 1. Automatic: every AI tool found is connected wi

From the project README.

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