* fix: preserve PR number in recovery and dedupe validation utilities Bugbot #2908822306: Use parsePrFromUrl utility to correctly extract PR number from URL instead of defaulting to 0. Applied to both recovery/actions.ts and session-manager.ts for consistency. Bugbot #2908822310: Extract safeJsonParse and validateStatus to shared utils/validation.ts to eliminate duplication between recovery/validator.ts and session-manager.ts. Clean rebuild from origin/main with only recovery-specific changes. * fix: add PR number fallback and remove unused import Bugbot #2908822306: Add fallback regex to extract PR number from URL ending when full GitHub URL pattern doesn't match (e.g., non-GitHub URLs). Bugbot #2908822310: Remove unused SessionStatus import from session-manager.ts (now imported from utils/validation.ts). Tests: 406 passed, typecheck clean. * fix(core): harden recovery action selection and escalation * fix(core): preserve recovered agent summary metadata * fix(core): reuse canonical PR type in URL parser Avoid shadowing the core PRInfo type in the recovery URL parser while keeping the non-GitHub trailing-number fallback covered by tests. * fix(core): align recovery metadata and session reconstruction Persist restored timestamps under the canonical metadata key, share session reconstruction logic between recovery and session loading, and log the real escalation reason when recovery aborts on retry limits. * fix(core): keep dry-run escalation reasons accurate Use the assessment's actual escalation reason in dry-run results so preview output matches real execution behavior for partial-session escalations. * fix(core): dedupe recovery scanning and honor custom log path Reuse metadata listing rules in scanner to avoid duplicated session ID filters, and preserve user-supplied recovery logPath in recovery manager APIs. * fix(core): align dry-run recovery behavior with real actions Compute recovery escalation decisions before dry-run returns and route single-session dry runs through executeAction so action-specific fields (reason/manual-intervention) are preserved. * fix(core): derive dry-run recovery report from action execution Run dry-run recovery classification through executeAction so report actions match real execution logic, including max-attempt escalation decisions. |
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| .changeset | ||
| .cursor | ||
| .github/workflows | ||
| .husky | ||
| artifacts | ||
| changelog | ||
| docs | ||
| examples | ||
| packages | ||
| scripts | ||
| tests/integration | ||
| .gitignore | ||
| .gitignore-template | ||
| .gitleaks.toml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc | ||
| ARCHITECTURE.md | ||
| DASHBOARD_FIXES_SUMMARY.md | ||
| DESIGN-OPENCLAW-PLUGIN.md | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
| SETUP.md | ||
| TROUBLESHOOTING.md | ||
| agent-orchestrator.yaml.example | ||
| eslint.config.js | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| test-ao-config.yaml | ||
| test-ao-config2.yaml | ||
| tsconfig.base.json | ||
README.md
Agent Orchestrator — The Orchestration Layer for Parallel AI Agents
Spawn parallel AI coding agents, each in its own git worktree. Agents autonomously fix CI failures, address review comments, and open PRs — you supervise from one dashboard.
Agent Orchestrator manages fleets of AI coding agents working in parallel on your codebase. Each agent gets its own git worktree, its own branch, and its own PR. When CI fails, the agent fixes it. When reviewers leave comments, the agent addresses them. You only get pulled in when human judgment is needed.
Agent-agnostic (Claude Code, Codex, Aider) · Runtime-agnostic (tmux, Docker) · Tracker-agnostic (GitHub, Linear)
Quick Start
Option A — From a repo URL (fastest):
# Install
git clone https://github.com/ComposioHQ/agent-orchestrator.git
cd agent-orchestrator && bash scripts/setup.sh
# One command to clone, configure, and launch
ao start https://github.com/your-org/your-repo
Auto-detects language, package manager, SCM platform, and default branch. Generates agent-orchestrator.yaml and starts the dashboard + orchestrator.
Option B — From an existing local repo:
cd ~/your-project && ao init --auto
ao start
Then spawn agents:
ao spawn my-project 123 # GitHub issue, Linear ticket, or ad-hoc
Dashboard opens at http://localhost:3000. Run ao status for the CLI view.
How It Works
ao spawn my-project 123
- Workspace creates an isolated git worktree with a feature branch
- Runtime starts a tmux session (or Docker container)
- Agent launches Claude Code (or Codex, or Aider) with issue context
- Agent works autonomously — reads code, writes tests, creates PR
- Reactions auto-handle CI failures and review comments
- Notifier pings you only when judgment is needed
Plugin Architecture
Eight slots. Every abstraction is swappable.
| Slot | Default | Alternatives |
|---|---|---|
| Runtime | tmux | docker, k8s, process |
| Agent | claude-code | codex, aider, opencode |
| Workspace | worktree | clone |
| Tracker | github | linear |
| SCM | github | — |
| Notifier | desktop | slack, composio, webhook |
| Terminal | iterm2 | web |
| Lifecycle | core | — |
All interfaces defined in packages/core/src/types.ts. A plugin implements one interface and exports a PluginModule. That's it.
Configuration
# agent-orchestrator.yaml
port: 3000
defaults:
runtime: tmux
agent: claude-code
workspace: worktree
notifiers: [desktop]
projects:
my-app:
repo: owner/my-app
path: ~/my-app
defaultBranch: main
sessionPrefix: app
reactions:
ci-failed:
auto: true
action: send-to-agent
retries: 2
changes-requested:
auto: true
action: send-to-agent
escalateAfter: 30m
approved-and-green:
auto: false # flip to true for auto-merge
action: notify
CI fails → agent gets the logs and fixes it. Reviewer requests changes → agent addresses them. PR approved with green CI → you get a notification to merge.
See agent-orchestrator.yaml.example for the full reference.
CLI
ao status # Overview of all sessions
ao spawn <project> [issue] # Spawn an agent
ao send <session> "Fix the tests" # Send instructions
ao session ls # List sessions
ao session kill <session> # Kill a session
ao session restore <session> # Revive a crashed agent
ao dashboard # Open web dashboard
Why Agent Orchestrator?
Running one AI agent in a terminal is easy. Running 30 across different issues, branches, and PRs is a coordination problem.
Without orchestration, you manually: create branches, start agents, check if they're stuck, read CI failures, forward review comments, track which PRs are ready to merge, clean up when done.
With Agent Orchestrator, you: ao spawn and walk away. The system handles isolation, feedback routing, and status tracking. You review PRs and make decisions — the rest is automated.
Prerequisites
- Node.js 20+
- Git 2.25+
- tmux (for default runtime)
ghCLI (for GitHub integration)
Development
pnpm install && pnpm build # Install and build all packages
pnpm test # Run tests (3,288 test cases)
pnpm dev # Start web dashboard dev server
See CLAUDE.md for code conventions and architecture details.
Documentation
| Doc | What it covers |
|---|---|
| Setup Guide | Detailed installation and configuration |
| Examples | Config templates (GitHub, Linear, multi-project, auto-merge) |
| CLAUDE.md | Architecture, conventions, plugin pattern |
| Troubleshooting | Common issues and fixes |
Contributing
Contributions welcome. The plugin system makes it straightforward to add support for new agents, runtimes, trackers, and notification channels. Every plugin is an implementation of a TypeScript interface — see CLAUDE.md for the pattern.
License
MIT