Open Agents

Multi-agent orchestrator for Claude Code. Spawn, coordinate and monitor AI agents in parallel — no API key required.

Install Open Agents

bench get-app https://github.com/OpenAEC-Foundation/Open-Agents

Tags

  • agent-framework
  • agentic-coding
  • ai-agents
  • anthropic
  • automation
  • claude
  • claude-code
  • cli
  • docker
  • frappe
  • llm
  • llm-orchestration
  • multi-agent
  • orchestration
  • react

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About Open Agents

Open-Agents Typing animation

[![version](https://img.shields.io/badge/version-v0.3.1-D97706?style=for-the-badge)](https://github.com/OpenAEC-Foundation/Open-Agents/releases) [![agents](https://img.shields.io/badge/agents-1612%2B-16A34A?style=for-the-badge)](https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/agents/library) [![python](https://img.shields.io/badge/python-3.10%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/) [![license](https://img.shields.io/badge/license-MIT-D97706?style=for-the-badge)](LICENSE) [![OpenAEC](https://img.shields.io/badge/OpenAEC-Foundation-EA580C?style=for-the-badge)](https://github.com/OpenAEC-Foundation)

1612+ Agent Templates 150+ Skills 112 Categories 21+ CLI Commands Zero API Costs
**Multi-agent orchestrator for Claude Code.** Spawn and coordinate hundreds of AI agents in parallel via a single CLI. No API key required, powered by your Claude Code subscription. Ideal for developers, teams, and anyone who wants to multiply their AI coding capacity. --- ## Demo ```bash # Spawn 4 parallel agents in seconds oa run "Research React 19 new features" --name researcher --model claude/sonnet --direct oa run "Write unit tests for auth module" --name tester --model claude/sonnet --direct oa run "Generate OpenAPI docs from bridge.py" --name documenter --model claude/haiku --direct oa run "Review PR #42 for security issues" --name reviewer --model claude/opus --direct # Watch them work oa status ``` ``` ┌─────────────┬────────┬─────────┬──────────────────────────────┐ │ NAME │ MODEL │ STATUS │ TASK │ ├─────────────┼────────┼─────────┼──────────────────────────────┤ │ researcher │ sonnet │ running │ Research React 19 new... │ │ tester │ sonnet │ running │ Write unit tests for auth... │ │ documenter │ haiku │ done │ Generate OpenAPI docs... │ │ reviewer │ opus │ running │ Review PR #42 for security.. │ └─────────────┴────────┴─────────┴──────────────────────────────┘ ``` --- ## Features | | | |---|---| | 🤖 **1612+ Agent Templates** | 112 categories from code-dev to AEC to healthcare | | ⚡ **Parallel Execution** | Spawn hundreds of agents simultaneously in tmux | | 🔄 **Bidirectional Feedback Loop** | Agents report back; orchestrator iterates | | 🐳 **Pipeline Orchestration** | Planner → parallel Workers → Combiner, automated | | 📊 **Three Interfaces** | Terminal CLI, Textual TUI dashboard, React web UI | | 🔌 **MCP + Agent Messaging** | Integrate with any MCP client; inter-agent DMs | | 🧬 **Nested Spawning** | Agents create child agents up to 6 levels deep | | 🌐 **Multi-model** | Claude Opus / Sonnet / Haiku + local Ollama models | --- ## Quick Start ```bash # Install ./install.sh # Linux / macOS / WSL2 # Start a session oa start # Spawn your first agent oa run "Write a Python web scraper" --model claude/sonnet --direct # Check status oa status ``` --- ## Architecture ``` ┌─────────────────────────────────────────────────────┐ │ oa CLI (Python) │ │ start · run · status · pipeline · delegate · web │ ├──────────┬──────────┬───────────┬───────────────────┤ │ tmux │ Textual │ React │ MCP Server │ │ session │ TUI │ Web UI │ (FastMCP) │ ├──────────┴──────────┴───────────┴───────────────────┤ │ Claude Code CLI (subscription) │ │ Claude Opus · Sonnet · Haiku · Ollama │ ├─────────────────────────────────────────────────────┤ │ 1612+ Agent Templates │ 22 Skills │ Guardians │ │ 112 categories │ 7 domains │ auto-run │ └─────────────────────────────────────────────────────┘ ``` --- ## Commands | Command | Description | |---------|-------------| | `oa start` | Start tmux session | | `oa run ""` | Spawn an agent | | `oa status` | Show all agents | | `oa watch ` | Stream live output | | `oa collect ` | Get completed output | | `oa pipeline ""` | Multi-agent pipeline (Planner → Workers → Combiner) | | `oa delegate ""` | Autonomous orchestrator agent | | `oa dashboard` | Textual TUI dashboard | | `oa web` | React web UI at localhost:5174 | | `oa team create ` | Create agent team | | `oa send "msg"` | Inter-agent messaging | | `oa kill ` | Stop an agent | | `oa clean` | Remove completed workspaces | ### `oa run` Options | Option | Description | |--------|-------------| | `--name NAME` | Agent name (auto-generated if omitted) | | `--model MODEL` | `claude/opus`, `claude/sonnet`, `claude/haiku`, `ollama/` | | `--parent NAME` | Parent agent for nested hierarchies | | `--direct` | Write directly to codebase (skip proposals) | | `--workspace DIR` | Use existing workspace | | `--prompt-file FILE` | Read task from file (avoids shell escaping issues) | ### Multi-line Prompts & Special Characters When your prompt contains single quotes, backticks, `$variables`, or spans multiple lines, use `--prompt-file` to avoid shell parsing issues: ```bash # Write your prompt to a file cat > /tmp/task.txt << 'EOF' Refactor the `parse_user()` function in src/utils.py. It's broken when input contains $special chars or it's > 100 chars. EOF oa run --prompt-file /tmp/task.txt --model claude/sonnet ``` Or use a heredoc variable: ```bash PROMPT=$(cat << 'EOF' Your multi-line prompt with 'quotes', `backticks`, and $variables here. EOF ) oa run "$PROMPT" --model claude/sonnet ``` --- ## Pipeline Orchestration ```bash oa pipeline "Build a CSV validator library with tests and README" ``` ``` Planner (5 min) → plan.json → Subtask agents (parallel, 30 min each) → Combiner (10 min) → result.md ``` --- ## Agent Library **1612+ templates** across **112 categories**, including: | Domain | Categories | Examples | |--------|-----------|----------| | **Development** | code-dev, frontend, backend, testing, devops | Find bugs, generate tests, review code | | **AEC** | blender, bonsai, ifcopenshell, sverchok | 3D modeling, BIM authoring, IFC processing | | **Data** | analytics, data-pipeline, ml-ops, database | Transform, visualize, validate | | **Business** | finance, legal, marketing, hr, logistics | Compliance, content, operations | | **Infrastructure** | cloud, security, monitoring, iot | Deploy, audit, observe | --- ## Installation ### Linux / macOS / WSL2 ```bash ./install.sh ``` ### Verify ```bash oa version oa doctor # Check all dependencies ``` ### Requirements | Dependency | Version | |------------|---------| | Python | >= 3.10 | | tmux | any recent | | Claude Code CLI | latest (active subscription) | > **Windows**: Use WSL2. Native Windows is not supported. --- ## Visual Canvas (Advanced) Drag-and-drop React Flow canvas for building complex agent workflows: ```bash pnpm install && pnpm dev # localhost:5173 ``` 160+ pre-built agents, flow + pool patterns, assembly engine (NL → agent graph), safety & audit, multi-provider support. --- ## Contributing Contributions welcome! Open an issue or submit a PR. 1. Fork the repository 2. Create a feature branch 3. Submit a pull request ## Organization | Entity | Role | |--------|------| | **OpenAEC Foundation** | Open-source stewardship | ## License [MIT](LICENSE) ---
*Build free. Build together.*

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