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Program complex multi-agent workflows with a typed DSL, a CLI-first runtime, and repo-local run state.

Project description

Rally

CI PyPI Python 3.14+ License: MIT OpenSSF Scorecard

Doctrine · Contributing · Support · Security Design · Versioning · Changelog · Support · Security

Build strong, stable coding-agent workflows from plain repo files.

Rally is the filesystem-first agent harness for coding-agent workflows you can inspect, recover, and trust. It keeps the run on disk inside the repo, routes each turn from strict JSON, and makes handoffs, blockers, artifacts, and stop reasons obvious instead of burying them in a hidden control plane.

If you already care about agents and want stronger workflow discipline, Rally is the front door. Doctrine sits underneath as the code-like authoring layer that keeps those workflows structured instead of collapsing into markdown sprawl.

Flows are code. Runs are files.

Status: early, real, and already useful. Codex and Claude Code support ship today. Repo-local searchable memory and allowlisted MCP surfaces ship today. The checked-in demo flows still default to Codex.

Live demo

Rally running the shipped poem_loop flow from the real CLI.

Rally poem loop live demo

Why teams reach for Rally:

  • strong, stable coding-agent workflows instead of workflow theater
  • run history lives under runs/
  • turn control comes from strict JSON, not prose guessing
  • the operator can inspect issue.md, artifacts, logs, and sessions on disk
  • resume paths stay honest because the state is visible
  • Doctrine under the hood keeps the workflow authorable and maintainable like code

Doctrine and Rally

  • Use Rally when you want to run a strong, stable workflow with repo-local state and strict turn routing.
  • Use Doctrine when you want to author and validate the workflow underneath it.
  • Keep the split crisp: Doctrine is how you author it. Rally is how you run it.

What Rally is for

Use Rally if you want:

  • repeatable coding-agent workflows
  • clear owners, clear artifacts, and clear stop points
  • repo-local runtime state instead of a hidden control plane
  • workflows you can diff, test, and review like software
  • a harness that is small enough to inspect with normal developer tools

Install Rally

Rally is an ordinary Python package with one CLI:

uv tool install rally-agents
rally --help

Rally requires Python 3.14 or newer and currently supports doctrine-agents>=1.0.2,<2. The name split is on purpose:

  • GitHub repo and source checkout: rally
  • Published package: rally-agents
  • Python import: rally
  • CLI command: rally

If you want Rally inside a repo-local environment instead of a tool install:

uv add --dev rally-agents
uv run rally --help

If you still have an older env or lockfile pinned to doctrine, refresh it to doctrine-agents>=1.0.2,<2.

Versioning and upgrade rules live in docs/VERSIONING.md. Release history lives in CHANGELOG.md.

Use Rally In Another Repo

Your host repo is the Rally workspace. Add the fixed top-level folders:

flows/
skills/
mcps/
stdlib/
runs/

Then add the workspace and emit config to pyproject.toml:

[project]
name = "demo-host"
version = "0.1.0"
requires-python = ">=3.14"

[tool.rally.workspace]
version = 1

[tool.doctrine.compile]
additional_prompt_roots = ["stdlib/rally/prompts"]

[tool.doctrine.emit]

[[tool.doctrine.emit.targets]]
name = "demo"
entrypoint = "flows/demo/prompts/AGENTS.prompt"
output_dir = "flows/demo/build/agents"

Author your flow under flows/demo/, then sync Rally's built-ins into the workspace:

rally workspace sync

That writes Rally-owned built-ins into stdlib/rally/, skills/rally-kernel/, and skills/rally-memory/. Do not point support files at ../rally/stdlib/.... Rally copies the support files into the host workspace so Doctrine emit stays inside the project root.

If you want a manual build before the first run, emit from the host repo after the sync:

uv run python -m doctrine.emit_docs --pyproject pyproject.toml --target demo

Then run the flow:

rally run demo

rally run and rally resume still refresh those built-ins before each start or resume.

In most host repos, treat the synced built-ins as generated framework files and ignore them in git unless you are choosing to vendor them on purpose:

stdlib/rally/
skills/rally-kernel/
skills/rally-memory/

If Rally opens home:issue.md, write the issue there and resume:

rally resume DMO-1

Work On Rally Itself

If you are changing Rally, use a normal repo checkout:

git clone https://github.com/aelaguiz/rally.git
cd rally
uv sync --dev

Source contributors still work in repo rally. Only the published package uses the name rally-agents.

Run the smallest shipped demo:

Build the checked-in flow and skill readback that Rally loads at runtime:

uv run python -m doctrine.emit_docs --pyproject pyproject.toml --target _stdlib_smoke --target poem_loop --target software_engineering_demo
uv run python -m doctrine.emit_skill --pyproject pyproject.toml --target rally-kernel --target rally-memory --target demo-git

Run the smallest shipped demo:

uv run rally run poem_loop

Run the unit tests:

If you do not have an interactive editor configured, Rally will stop and tell you where the issue file lives. On a fresh repo, that path will be:

runs/active/POM-1/home/issue.md

Write the issue there, then resume the run:

uv run rally resume POM-1

Run the unit tests any time with:

uv run pytest tests/unit -q

Cut a public release with the repo-owned flow:

make build-dist
make verify-package
make verify
make release-prepare RELEASE=vX.Y.Z CLASS=internal|additive|soft-deprecated|breaking CHANNEL=stable
make release-tag RELEASE=vX.Y.Z CHANNEL=stable
make release-draft RELEASE=vX.Y.Z CHANNEL=stable PREVIOUS_TAG=auto
make release-publish RELEASE=vX.Y.Z

The full rules live in docs/VERSIONING.md. The release history lives in CHANGELOG.md. The first TestPyPI and PyPI setup steps also live in docs/VERSIONING.md.

What ships today

Rally already has:

  • Doctrine-authored flows and generated readback under flows/*/build/**
  • live Codex and Claude Code adapter paths
  • repo-local run homes, issue history, logs, and restartable runs
  • strict handoff, done, blocker, and sleep turn results
  • repo-local searchable memory
  • allowlisted skills and MCP materialization into the run home
  • two demo flows:
    • poem_loop
    • software_engineering_demo

Why this angle matters

A lot of agent tooling still hides the important truth in dashboards, opaque state, or giant piles of copied prompt prose.

Rally takes a different bet:

  • keep the runtime small
  • keep the run visible
  • keep ownership changes explicit
  • keep the stop rules typed
  • keep recovery paths boring and honest

If the story only works when the control plane is hidden, the runtime is not trustworthy enough yet.

The key rule does not change: no hidden side doors, no second turn-ending path, and no drift between what the flow says and what the runtime does.

Open Source On Purpose

Rally is MIT licensed. See LICENSE.

Open source matters here because trust is the product. You should be able to inspect:

  • what the agent saw
  • what files were current
  • why ownership changed
  • what ended the turn
  • what the runtime wrote to disk

If that story depends on a hidden DB, a dashboard, or hand-wavy prompt magic, Rally failed its own pitch.

Contributing

See CONTRIBUTING.md. The short version:

  • use uv
  • keep prompt source in .prompt
  • do not hand-edit generated readback
  • prove the smallest real path for the change

Questions and contributions

Read Next

Questions and contributions

If this direction is useful, star the repo and watch releases.

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