repofit 0.1.1

Stop scrolling trending. Ask the agent that has watched you work.

Every week another wave of repositories hits ten thousand stars, and every "tools you should try" list is written for everyone at once. Meanwhile your coding agents have been taking notes on you for months: what you build, what keeps breaking, what you complained about at 2 a.m. repofit reads those notes on your own machine, from Claude Code, Codex, Cursor and a dozen more, and turns them into picks you have not heard of and will actually use. Every pick shows you the moment in your own history that earned it.

Install

pipx install repofit

Then point the agents you use at repofit mcp. Most of them read the same MCP config:

{ "mcpServers": { "repofit": { "command": "repofit", "args": ["mcp"] } } }

That line goes in ~/.cursor/mcp.json for Cursor, ~/.gemini/settings.json for Gemini CLI, ~/.qwen/settings.json for Qwen Code, and the MCP settings of Cline, Windsurf or Claude Desktop. Codex reads TOML, and Claude Code adds servers from the command line:

# ~/.codex/config.toml
[mcp_servers.repofit]
command = "repofit"
args = ["mcp"]

claude mcp add repofit -- repofit mcp

repofit runs inside your agent, so your agent's own model does the thinking: no API key, no account, nothing to host. To skip the install step, use uv and make the command uvx repofit mcp.

Just ask

Open a new session in any agent you connected and talk to it like a colleague who has read your history:

• "Use repofit to recommend some GitHub projects for me."
• "Does github.com/owner/name fit me?"
• "Is there a good tool for turning PDFs into Markdown?"
• "Which of my installed skills do I never use?"

The agent shows you the picks in the chat, and the same list stays one command away:

_{The picks come from a sample history. The text is exactly what the CLI prints.}

Every pick has a receipt. No "because you starred X": the seen in line points at the session where the need showed up and quotes what you said. If repofit cannot point at your history, it does not make the pick.

The list at the bottom matters more than it sounds. Every skill and MCP server you installed and forgot still costs context on every single request, and repofit names the ones none of your sessions ever called.

How it picks

Each agent stores its history differently, and the formats change every few months, so repofit ships one adapter per agent. The profile is written from a redacted, numbered evidence pack, and any claim that cites evidence that does not exist is thrown out by the code, not left to the model's good manners. Retrieval runs one query per task you actually do, with project names and search phrases the model adds, so it finds the library a task depends on even when you never typed its name. The ranker is told to skip the household names you already know. The candidate pool is rebuilt every Monday from the GitHub API: active repositories above 3,000 stars, new ones above 1,000, the agent ecosystem above 300, plus GitHub trending.

Your history stays yours

• Everything runs on your machine. repofit reads the files your agents already keep and writes its own to ~/.repofit.
• You choose the depth: installed tools only, plus memory and instruction files (the default), or plus your own messages and tool calls.
• Before any model sees a line, API keys, tokens, passwords, emails, phone numbers and random-looking strings (yes, including the password you once pasted after ssh) are stripped, and your home folder becomes ~.
• With MCP, the text goes to the model your agent already uses. From the command line it goes only to the provider you name, after you confirm.
• Your notes and other people's READMEs can hide instructions. repofit hands everything over as data, and the agent is told never to follow what it finds inside.

Supported agents

Project instruction files (AGENTS.md, CLAUDE.md, .cursorrules and friends) are read too. Run repofit scan to see what it finds on your machine. If your agent hides its data somewhere else, open an issue with the path and it gets an adapter.

repofit scan                                    # which agents are installed and what each one stores
repofit profile build --level L2 --provider deepseek
repofit recommend --provider deepseek --lang zh

repofit profile prompt --level L2 > prompt.md   # then: repofit profile apply answer.json
repofit profile expand --prompt                 # then: repofit profile expand --apply answer.json
repofit recommend --prompt --lang en            # then: repofit recommend --apply answer.json
repofit recommend --no-llm                      # keyword retrieval only, nothing leaves your machine

Development

git clone https://github.com/pth2002/repofit && cd repofit
python -m pip install -e . pytest
python -m pytest
repofit index build      # rebuild the candidate pool yourself; needs a GitHub token

License

MIT