striatum-orchestrator 1.16.0

Local-first orchestration for terminal-based AI coding agents

striatum

Local-first orchestration for multiple terminal-based AI coding agents.

striatum is a small, repo-local control plane for coordinating AI coding agents that live in terminals: Codex, Claude Code, Gemini CLI, or any other model runtime that can be represented as a command. It is built for workflows where several agents need to draft, review, synthesize, repair, and report on work without relying on a hosted coordinator or hidden chat transcripts.

The important distinction is this: .striatum/state.sqlite3 is the authoritative live state for runs, jobs, sessions, queue messages, leases, blockers, verdicts, artifacts, and events. Repository files (prompts, findings, ledgers, syntheses, decisions, handoffs, redacted evidence exports) are durable provenance, not the live message bus. Marker files, tmux pane state, terminal output, and provider hooks are useful for humans, but they do not advance state.

Status

v1.11.0. RFCs 0001–0022 are all accepted (some at accepted (V1) or accepted (V1+V1.5)); the implementation slices for each are on main. Per-version release notes live in CHANGELOG.md. The package is published to PyPI as striatum-orchestrator (the bare striatum name on PyPI is unrelated); the Python module name is still striatum.

Install

From PyPI:

pip install striatum-orchestrator
striatum --help

From a checkout of this repository:

make install
.venv/bin/striatum --help

For development without installing the console script:

PYTHONPATH=src python3 -m striatum.cli --help

Run the tests with:

make test

Quick Start (Human Operator)

You will run striatum commands by hand.

TARGET_REPO=/path/to/your/repo
WORKFLOW=examples/code-change-flow/workflow.json   # or your own

striatum --repo "$TARGET_REPO" init --json
striatum --repo "$TARGET_REPO" workflow validate "$WORKFLOW" --json
striatum --repo "$TARGET_REPO" run prepare --workflow "$WORKFLOW" --json
striatum --repo "$TARGET_REPO" run start --run-id <run_id> --json
striatum --repo "$TARGET_REPO" dashboard --run-id <run_id> --once

From here you register a session and claim work. The full operator playbook is docs/HOW_TO_HUMAN.md.

Quick Start (Coding Agent)

You will install the runner, install the agent skill bundle (RFC 0015), and hand the agent a target repo with a workflow file in it. The agent does the rest. For first-time setup, combine --with-skills and --with-ddd-layout (RFC 0021) so the target repo gets both the agent-facing skills and the human-facing DDD doc layout in one command:

TARGET_REPO=/path/to/your/repo
striatum --repo "$TARGET_REPO" init \
  --with-skills claude_code \
  --with-ddd-layout \
  --json
# now point your Claude Code session at $TARGET_REPO and tell it:
#   "drive the workflow at <path>/workflow.json using striatum"

The single command above initializes .striatum/, writes the agent skill bundle to .claude/skills/striatum-*/, and scaffolds the seven canonical human-facing DDD documents (docs/SPEC.md, docs/PRD.md, docs/DECISION_LOG.md, docs/UBIQUITOUS_LANGUAGE.md, docs/DDD.md, docs/rfcs/README.md, docs/rfcs/0001-template.md). Existing files are preserved; pass --ddd-layout-dry-run to preview, --ddd-layout-force to overwrite (records prior_sha256 for audit). For agents without a skill convention, striatum skills install --profile generic writes a single STRIATUM_AGENT_GUIDE.md you can paste into a system prompt. The long-form companion to the bundle is docs/HOW_TO_AGENT.md.

Web UI

striatum --repo "$TARGET_REPO" serve --web
# bound port is in the startup envelope; pass --port for a fixed one

The web UI (RFC 0022) is server-rendered Jinja2: real HTML pages at /, /run/<id>, /run/<id>/job/<id>, /run/<id>/artifact/<id>, /doctor. The dependency graph renders as inline SVG with state-colored nodes that click-navigate. Light + dark mode follow prefers-color-scheme. Localhost-only by default; mutations gated behind --allow-mutations.

What It Is For

striatum is for long-running, review-heavy agent workflows where "just tell three agents to work in tmux panes" stops being enough. It gives the human and coordinator a stable answer to questions like:

• What run is active, on which branch was it confirmed, and which jobs are claimable, blocked, in review, or waiting on a human?
• Which session owns a lease? What artifact was required, where was it written, what hash was recorded?
• Did a review return needs_revision, and did the workflow declare a safe cycle for that?
• Can I commit a redacted evidence summary without committing live SQLite state or transcripts?

The runner is intentionally conservative. It coordinates work; it does not decide that an agent is done because a terminal printed a phrase. Agents and humans move the workflow by calling striatum commands.

striatum is a domain-driven workflow runner: the vocabulary in docs/UBIQUITOUS_LANGUAGE.md is the model, not just documentation; the CLI verbs are the only legal mutations. docs/DDD.md explains why the vocabulary is load-bearing instead of bookkeeping.

Documentation Map

File	When to read
docs/GETTING_STARTED.md	First 15 minutes; forks human-operator vs. coding-agent setup.
docs/HOW_TO_HUMAN.md	The operator's long-form playbook; every CLI verb in the order you use it.
docs/HOW_TO_AGENT.md	Long-form companion to the RFC 0015 agent skill bundle.
docs/WRITING_WORKFLOWS.md	How to author your own workflow.json.
docs/CLI_REFERENCE.md	Flat list of every CLI verb and stable exit codes.
docs/SPEC.md	The implementation contract; the source of truth when this page disagrees with the runner.
docs/INDEX.md	Every doc in docs/ with a one-line summary.

License

Apache-2.0. See LICENSE.