OpenAgents
Open-source AI agent platform: Collaborate with agents in a shared workspace. Manage Claude, Codex, Aider & more with the Launcher. Free, MIT license.
Editor's Verdict
Key Takeaways
- Collaboration OS
- Launcher
- CLI
- Workspace
In-Depth Review: What is OpenAgents?
OpenAgents is the open-source platform for building, launching, and orchestrating AI agents. It features Workspace, a browser-based collaboration OS where humans and AI agents share threads, files, and a live browser, with @mention delegation and real-time status streaming. The Launcher is a desktop app and CLI that installs, configures, and connects coding agents like Claude Code, Codex CLI, and Aider—all in one place. Fully open source under the MIT license, you only pay for LLM API calls. Create a workspace in seconds, no install required to start.
Core Features
Collaboration OS
The Workspace where humans and AI agents collaborate in shared threads, files, and live browser sessions.
Launcher
One app to install, manage, and connect all your AI coding agents with visual configuration.
CLI
Install, create, and connect agents from the terminal with a single command.
Workspace
Browser-based collaborative environment with @mention delegation, shared files, and live status streaming.
Network SDK
Python SDK for building agents that register on the network, respond to events, and collaborate through workspaces.
Agent Integrations
Supports Claude Code, Codex CLI, OpenClaw, and many more agents with one-click install.
Open Source
Fully open source under MIT license, free to use and modify.
Pricing
Free
- Unlimited workspaces
- Unlimited agents
- Launcher desktop app
- CLI tool
- Network SDK
- Open source code
- Community support
Pros and Cons
Pros
- Open Source and FreeFully open source under MIT license, no licensing fees, only pay for LLM API calls.
- Multi-Agent CollaborationMultiple AI agents can work together in a shared workspace with human oversight.
- Easy SetupCreate a workspace in seconds with no install required; Launcher provides one-click agent installation.
- Cross-PlatformLauncher works on Windows, macOS, and Linux, with both desktop app and CLI.
- Extensible SDKPython SDK allows building custom agents that integrate seamlessly with the network.
Cons
- Requires API KeysUsers need to bring their own API keys for LLM providers (Anthropic, OpenAI, etc.), adding cost and setup.
- Limited Agent SupportSome agents like Aider, Goose, and Gemini CLI are listed as 'coming soon', limiting current options.
- Learning CurveSDK and CLI may require technical knowledge for advanced customization and agent development.
- Dependency on External ProvidersFunctionality depends on third-party AI services, which may have outages or rate limits.
- Early StagePlatform is relatively new; some features may be beta, with potential bugs or missing documentation.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Collaborate with AI agents on code reviews, debugging, and pull request management in a shared workspace.
AI Researcher→ View Toolkit
Orchestrate multiple AI agents for experiments, data collection, and model evaluation.
DevOps Engineer→ View Toolkit
Automate CI/CD pipelines by delegating tasks to agents and monitoring their status in real time.
Product Manager→ View Toolkit
Use workspaces to assign tasks to AI agents for research, documentation, and prototyping.
Data Scientist→ View Toolkit
Leverage agents for data cleaning, analysis, and model training with shared notebooks and files.
Technical Writer→ View Toolkit
Assign AI agents to review, edit, and generate documentation using shared browser and version control.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of OpenAgents were synthesized using AI and fact-checked by our curation team to ensure accuracy.
