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How to run a local gitai server for concurrent agent lands with Git AI

Build gitai and run the quickstart to see several agents land changes on one branch.

Who it is forA developer or platform engineer who wants to test how a shared repository behaves when many coding agents push small changes at once.

The problemClassic Git hosting makes many short-lived agent changes queue up, retry and rebase, which slows everything down on busy branches.

The outcomeA running gitai server, a cache daemon, two demo agents and a completed land, all in a temporary directory, with the CLI available for further commands.

What you need first

  • Linux or macOS
  • Go 1.26
  • A C toolchain
  • Meson and Ninja (the build compiles a bundled Git)
  • Git and a clone of https://github.com/feder-cr/git-ai.git

Steps

  1. git clone https://github.com/feder-cr/git-ai.git
  2. cd git-ai
  3. make build
  4. examples/graft/quickstart.sh
  5. ./_build/bin/graft

Prompt for your agent

In the repository git-ai, run `make build` and then `examples/graft/quickstart.sh`. Confirm the script reports a completed land from two agents, then run `./_build/bin/graft` and report the list of commands it prints.

Caveat. The README calls gitai version 0.3.0 and says interfaces may still change before 1.0, and it is an independent implementation not affiliated with Anthropic.

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