待翻譯：Show HN: Apronagents – give each AI coding agent a disposable Git remote

AI 服務暫時不可用，以下為來源正文，待恢復後補全翻譯。

Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 177 Commits 177 Commits Folders and files NameName Last commit message Last commit date .github .github assets/brand assets/brand docs docs src src tests tests .gitignore .gitignore CONTRIBUTING.md CONTRIBUTING.md LICENSE LICENSE README.md README.md pyproject.toml pyproject.toml run run uv.lock uv.lock Repository files navigation A local, one-command tool that breaks a coding task into small independent issues, hands them to worker agents that each work in an isolated sandbox, and merges their work one chunk at a time behind a human review gate. The name comes from the airport apron: the staging area where aircraft are prepped and checked before they ever reach the runway. Apron Agents does the same with code before it reaches your real remote. How it works An orchestrator agent splits your task into small, file-independent issues. Worker agents each claim an issue and work in an isolated clone of a disposable, fully local sandbox repository (a bare repo in a temp dir acting as a "fake GitHub"). Your real remote is never touched. A merge controller merges one branch at a time, running tests on every candidate merge. A dashboard gives you a live view of every agent plus a chunk-by-chunk review-and-merge control surface. In supervised mode, nothing merges without your approval; in autonomous mode, green tests are enough. When everything is merged and green, the final result is copied into your working directory and the tool stops. You test locally and run any real git operations yourself. Install pip install apronagents Then, from the project directory you want the agents to work on: apron start This boots the orchestrator, workers, merge controller, and dashboard server, and opens the dashboard in your browser. Enter a task, review the diffs, and approve merges chunk by chunk; when everything is green the result lands in your working directory and the tool stops. No account? Try the whole flow with fake agents: apron start --runner demo Commands apron start — boot everything and open the dashboard apron start # supervised, auto-detected runner, current dir apron start "add dark mode" # dispatch this task as soon as apron is up Flag What it does --mode supervised|autonomous Supervised gates the plan and every merge behind your click; autonomous merges on green tests (default: supervised) --runner claude-code|codex|api|demo Agent backend (default: auto-detect — claude CLI, then codex CLI, then API credentials, then demo) --workers N Number of worker agents (default: 3) --test-command 'pytest -q' Shell command run against every candidate merge --dir PATH Project directory to work on (default: current directory) --port N Dashboard port (default: 4650) --with-session-context Summarize your most recent interactive Claude session for this project and give it to the planner and workers --no-browser Don't open the dashboard in a browser apron task — dispatch to a running apron from your terminal apron task "add dark mode" # dispatch a task apron task "add dark mode" --follow # ...and narrate the run right here apron task --from-issue 42 # dispatch a GitHub issue of this repo apron task --from-issue 42 --from-issue 43 # several issues as one task apron report — run history and shareable reports apron report # list past runs of this project apron report 8a645bde # print one run's markdown report (a unique prefix works) The report is the run's full audit trail — the task, the plan and whether it passed the plan gate, every review with its send-back reasons and line notes, what merged when, and exactly which files the handoff copied. Pipe it into a file or paste it into a PR. Every setting is also an environment variable: APRON_MODE, APRON_RUNNER, APRON_WORKERS, APRON_PORT, APRON_TEST_COMMAND, APRON_SESSION_CONTEXT=1. Quick start from a clone For hacking on Apron itself: git clone https://github.com/Ut8v/apronagents && cd apronagents ./run start This sets up the environment with uv and launches everything the same way. Agent backends Workers run on whatever you already use — pick with --runner or let auto-detection choose: Runner Powered by Needs claude-code The claude CLI, headless Any Claude plan (Pro/Max) or API login — whatever Claude Code already uses codex The codex CLI, headless A ChatGPT plan or OpenAI key — whatever Codex already uses api The Anthropic API directly ANTHROPIC_API_KEY or an ant auth login profile demo Fake in-process agents Nothing — try the whole flow with no account Any other headless agent CLI can be plugged in as a CliProfile (src/apron/workers/cli_runner.py). Customizing agents Agent behavior lives in editable markdown definitions, not code. Apron ships defaults, discovers your existing .claude/agents/ definitions read-only, and writes any edits you make in the dashboard to a .apron/ overlay that hot-reloads on the next issue. Contributing See CONTRIBUTING.md — setup, workflow, and the invariants every change must respect. CI runs the test suite (Python 3.11–3.13), the dashboard typecheck/build, and a wheel install smoke test on every push and pull request. License MIT Topics Resources Readme MIT license Contributing Contributing Activity Stars 1 star Watchers 0 watching Forks 0 forks Report repository