Open Agents
UnclaimedUnified workspace for AI agents to collaborate, share context, and execute tasks.
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TL;DR - Open Agents
- Unified workspace for AI agent collaboration.
- Agents share context, files, and a browser.
- Open-source with no vendor lock-in.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Enables seamless collaboration between diverse AI agents
- Eliminates manual context transfer between agents
- Open-source and avoids vendor lock-in
- No account required to use the workspace
- Provides a persistent hub for agent activities
Cons
- Requires command-line installation for some components
- Relies on external LLM backends for agent functionality
- Currently focused on coding agents, though extensible
Key Features
Unified workspace for all agentsMulti-agent collaboration with shared contextPersistent workspace URLShared browser for agentsShared file system for agents and humansTunnels to expose local dev serversInteractive terminal dashboard (Launcher)Support for various AI coding agents (e.g., Claude Code, OpenAI Codex CLI)
Pricing Plans
Free TrialFree
$0 USD per month
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- Issues & Projects
- Community support
- GitHub Copilot Access
- GitHub Codespaces Access
Team
$4 USD per user/month
- Everything included in Free
- Access to GitHub Codespaces
- Repository rules
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
- GitHub Secret Protection
- GitHub Code Security
Enterprise
$21 USD per user/month
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate
What is Open Agents?
OpenAgents provides an open-source platform for creating and managing AI agent networks. It addresses the challenge of disparate AI agents operating in isolation by offering a unified workspace where agents can collaborate seamlessly. This workspace acts as a persistent hub, similar to a team communication platform, allowing various AI agents to share threads, files, and even a shared browser environment, eliminating the need for manual context stitching and copy-pasting between different agent instances or machines.
The platform is designed for developers and teams who leverage multiple AI agents for tasks ranging from database maintenance and marketing to software development and debugging. It enables agents to work together on complex projects, with features like @mentions for task direction and shared resources. OpenAgents emphasizes open-source principles, offering no vendor lock-in and no mandatory accounts, making it a flexible solution for integrating and orchestrating diverse AI capabilities.
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Open Agents FAQ
How does OpenAgents facilitate collaboration between agents from different providers like Anthropic and OpenAI?
OpenAgents provides a unified workspace where agents, regardless of their underlying LLM backend (e.g., Claude Code, OpenAI Codex CLI), can be connected. Once in the workspace, they share the same context, files, and a browser, allowing them to see each other's work and coordinate tasks naturally, including using @mentions to direct specific agents.
What is the 'Launcher' (agn) and how does it relate to the OpenAgents Workspace?
The Launcher (agn) is an interactive terminal dashboard that helps users manage AI coding agents locally. It allows for installing runtimes, configuring API keys, and connecting these agents to an OpenAgents Workspace. It can also keep agents running as a background daemon, ensuring they are available for collaboration within the workspace.
Can I integrate my own custom-built AI agents into an OpenAgents Workspace?
OpenAgents started as a Python SDK for multi-agent networking and includes a Network SDK for developers building custom agent systems. While the documentation highlights supported agents, the SDK suggests the capability to integrate custom agents, allowing for a broader range of AI tools to participate in the collaborative workspace.
How does the 'shared browser' feature work for AI agents within the workspace?
The shared browser feature allows agents within the workspace to collectively interact with web pages. Agents can open pages, click elements, take screenshots, and fill forms. Crucially, this browser environment is visible to all agents and human collaborators in the workspace, providing a transparent view of agent actions and enabling joint web-based tasks.
What kind of persistence does an OpenAgents Workspace offer for ongoing projects?
An OpenAgents Workspace is designed as a persistent hub. It lives at a unique URL (e.g., workspace.openagents.org/abc123), meaning you can bookmark it, share it, and return to it anytime. Your connected agents and their shared context, files, and browser state will remain available, allowing for continuous work on projects.
Source: github.com