A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
翻訳待ち
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Shepherd: Programmable Meta-Agents via Reversible Execution Traces
Shepherd is in early alpha and under active development.
APIs may still change between releases. Feedback and issues are very welcome!
Shepherd is a runtime substrate for agent work that needs inspection,
reversibility, and supervision. It records agent runs as durable, inspectable
execution traces, with retained workspace outputs that can be reviewed before
they are selected, applied, released, or discarded.Read the full README ↗[!IMPORTANT] Shepherd is in early alpha and under active development. APIs may still change between releases. Feedback and issues are very welcome!
Shepherd is a runtime substrate for agent work that needs inspection, reversibility, and supervision. It records agent runs as durable, inspectable execution traces, with retained workspace outputs that can be reviewed before they are selected, applied, released, or discarded.
Platforms. Shepherd requires Python 3.11+. OS-level grant enforcement is executed on both macOS (Seatbelt) and Linux (Landlock, in a privileged container). Windows is unsupported (enforcement would be advisory-only at best) — use WSL.
pip install shepherd-ai
Working on Shepherd itself? Install the local editable closure instead:
python -m venv .venv && . .venv/bin/activate && pip install -r requirements-dev.txt
(see CONTRIBUTING.md).
Shepherd is an agent framework: a task's implementation can be a sandboxed agent, and its work comes back as a reviewable proposal — nothing touches your files until you accept it. Here the whole body of a task is a Claude agent.
Needs the
claudeCLI — signed in (a Claude subscription works) or with anANTHROPIC_API_KEY. Neither? Jump to the Offline Quickstart — it runs anywhere, keyless.On a subscription, a sandboxed run is most reliable with a long-lived token:
export CLAUDE_CODE_OAUTH_TOKEN=$(claude setup-token). A short-lived signed-in session can't be refreshed from inside the sandbox, so it may work interactively yet fail here —shepherd doctor claude(add--probefor a real auth round-trip under Shepherd's config, in the parent — not a jailed run) tells you which credential you have before you run. If Claude returns an org-policy error (HTTP 403), that's an account/organization limit, not a login problem — a different key or your org admin is the fix. And an outrightclaudeCLI hang (e.g. a stale version) surfaces as a budget timeout, not an auth error.
A task is a plain Python function with no body; the signature and docstring
are the contract the agent fulfils at runtime — including its permissions:
repo: sp.GitRepo is the explicit writable workspace-handle grant that lets the
agent write the repository (see
Permissions):
def write_program(
repo: sp.GitRepo,
prompt: str,
output_path: str = "program.py",
) -> None:
"""Write a small, self-contained Python program that does what `prompt` asks.
Save it to output_path. It must run with plain `python3`, read no input,
and finish on its own within about ten seconds.
"""
Set up a scratch workspace and check the agent lane is ready:
mkdir /tmp/agent-task && cd /tmp/agent-task
shepherd init # turn this directory into a Shepherd workspace
shepherd doctor claude # confirm claude CLI, sign-in/key, and sandbox are ready
Fetch the demo and let the agent work (about a minute):
shepherd demo write agent-task > agent_task.py
python agent_task.py
The agent writes donut.py — but not into your directory. It lands as a
retained output: a proposal held safely to one side, which you can run
without applying anything:
shepherd run changeset --latest --read donut.py | python3 -
Ten seconds of spinning ASCII donut, straight out of the retained output. If you like it, keep it; if not, throw it away — the trace remembers either way (the demo prints both commands with the real run id):
shepherd run select <run-ref> # keep it
shepherd run apply <run-ref> # ...or merge it onto a workspace that moved on
shepherd run discard <run-ref> # ...or not
Edit PROMPT in agent_task.py and re-run to ask for anything else — the
contract stays the same. For an agent that edits existing files, see
shepherd demo write claude-readme.
No API key required. This runs the same retained-output machinery through Shepherd's deterministic provider — the agent lane above, minus the agent:
mkdir /tmp/shepherd-quickstart && cd /tmp/shepherd-quickstart
shepherd init # turn this directory into a workspace
shepherd demo write quickstart > quickstart_demo.py
python quickstart_demo.py # register + run a task, retaining its result
shepherd run list # the run and its status
shepherd run changeset --latest # what it wrote, kept as a retained output
Inspect the full record with shepherd run show --latest (add --json to any
read command for the durable machine payload); see the
docs for backend selection and the complete
run surface.
This is the beginning of the README. Read the rest at the original. Read the full README ↗