oacp-cli 0.1.0rc1

Open Agent Coordination Protocol CLI for file-based multi-agent workflows

OACP — Open Agent Coordination Protocol

Empowering solo founders to coordinate AI agents, with human-in-the-loop for control.

A file-based coordination protocol for multi-agent engineering workflows. OACP defines the message formats, state machines, review processes, and safety rules that enable AI agents on different runtimes to collaborate asynchronously through a shared filesystem.

OACP is not a framework or SDK. It is a set of conventions, YAML schemas, and shell scripts that any agent runtime can implement — Claude, Codex, Gemini, or your own.

Features

• Inbox/outbox messaging — async YAML-based communication with threading, broadcast, and expiry
• Structured review loop — severity-graded findings, quality gates, and multi-round review
• Durable shared memory — project facts, decisions, and open threads that persist across sessions
• Dispatch state machine — full task lifecycle tracking from assignment to merge
• Agent safety defaults — baseline rules for git, credentials, staging, and scope discipline
• Runtime-agnostic — works with any agent runtime that can read/write files

Why OACP?

When multiple AI agents work on the same codebase, they need a way to:

• Communicate — send task requests, review feedback, and handoffs without shared memory
• Review each other's work — structured review loops with quality gates and severity-based findings
• Stay in sync — durable memory files that persist decisions across sessions and runtimes
• Stay safe — baseline safety rules for git operations, credential scoping, and scope discipline

OACP solves this with a filesystem-based protocol that requires no server, no database, and no vendor lock-in. Agents read and write YAML files in a shared directory — that's it.

Install

uv tool install oacp-cli

pipx install oacp-cli

uvx --from oacp-cli oacp doctor

From source

git clone https://github.com/kiloloop/oacp.git
cd oacp
uv tool install .

Commands

• oacp init creates a project workspace under $OACP_HOME/projects/
• oacp send sends a protocol-compliant inbox message
• oacp doctor checks environment and workspace health
• oacp validate validates an inbox/outbox YAML message

If OACP_HOME is unset, workspace commands default to ~/oacp (underscore).

Key Concepts

Concept	Description
Inbox/Outbox	Async messaging between agents via YAML files in agents/<name>/inbox/
Review Loop	Structured code review: review_request → review_feedback → review_addressed → review_lgtm
Quality Gate	Merge-readiness criteria: no unresolved P0/P1 findings, deferred nits tracked
Durable Memory	Shared memory/ directory with project facts, decisions, and open threads
Dispatch States	Task lifecycle: received → accepted → working → pr_opened → in_review → done
Safety Defaults	Baseline rules all agents follow: no force push, no secrets in commits, stage hygiene

Project Structure

oacp/
├── docs/
│   ├── protocol/       # Canonical protocol specifications (13 specs)
│   └── guides/         # Setup, adoption, versioning
├── scripts/            # 13 kernel scripts (Python + shell)
├── templates/          # Packet, role, and guardrail templates (19)
├── tests/              # Test suite
├── Makefile            # Task runner (make help for all targets)
└── SPEC.md             # Full protocol specification

Quick Start

# 1. Clone the repo
git clone https://github.com/kiloloop/oacp.git
cd oacp

# 2. Install the CLI
uv tool install oacp-cli

# 3. Initialize a project workspace
export OACP_HOME="$HOME/oacp"
oacp init my-project

# 4. Send your first message
oacp send my-project \
  --from alice --to bob --type task_request \
  --subject "Implement feature X" \
  --body "Details here..."

# 5. Check environment health
oacp doctor

See QUICKSTART.md for a complete 5-minute walkthrough.

Scripts

OACP ships 13 scripts — the key ones you'll use most:

• init_project_workspace.sh — create a new project workspace (the first script you run)
• send_inbox_message.py — send protocol-compliant messages between agents
• preflight.py — unified quality checks (CI runs this on every PR)
• oacp_doctor.py — environment and workspace health check

Run make help to see all available Makefile targets, or see SPEC.md for the full script inventory.

Prerequisites

• Python 3.9+
• Bash 3.2+ (macOS default is fine)
• gh CLI (for GitHub operations)
• pyyaml (pip install pyyaml)

Protocol Specification

The full protocol is documented in SPEC.md, covering:

1. Inbox/Outbox Messaging — message format, types, lifecycle, threading, broadcast
2. Dispatch State Machine — task lifecycle from delivery to completion
3. Review Loop — packet-based and inbox-based review with quality gates
4. Cross-Runtime Sync — durable memory, handoff context, session init
5. Safety Defaults — git safety, staging hygiene, credential scoping

Individual protocol specs live in docs/protocol/.

Workspace Layout

When you initialize a project, OACP creates this structure:

$OACP_HOME/projects/<project>/
├── agents/
│   ├── <agent-a>/
│   │   ├── inbox/          # Other agents write here
│   │   ├── outbox/         # Sent messages (copies)
│   │   ├── status.yaml     # Dynamic agent state
│   │   └── agent_card.yaml # Static agent identity
│   └── <agent-b>/
│       └── ...
├── memory/                  # Shared durable memory
│   ├── project_facts.md
│   ├── decision_log.md
│   └── open_threads.md
├── packets/                 # Review/findings artifacts
└── workspace.json           # Project metadata

Development

make test
make preflight

Documentation

• SPEC.md — Full protocol specification
• QUICKSTART.md — 5-minute getting started guide
• docs/guides/setup.md — Detailed setup guide
• docs/guides/adoption.md — Adoption guide (minimum → full)
• docs/protocol/ — Individual protocol specs
• CONTRIBUTING.md — How to contribute

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

License

Apache 2.0 — see LICENSE for details.