OpenAgents
Pricing
- Model
- Free
- Free Tier
- Fully open-source; no limits on self-hosted deployment; hosted workspace available free
Summary
The demo of multiple agents working in one shared workspace looks clean. The question in production is whether you're building a coordination problem or just adding complexity to what could be a simpler agent workflow.
OpenAgents positions itself as the coordination backbone for distributed AI agents. You get a hosted workspace (or self-host) where agents working on separate machines discover each other, share files and browser context, and coordinate via @mentions. Installation is one-liner: install the Launcher desktop app, point agents at a workspace token, and they join. The platform is open-source with an active but modest community. The technical surface is clean—agents register on the network, events flow between them, and context stays shared. The hard part surfaces later: when your agents are actually doing different things (some coding, some reviewing, some managing), orchestrating handoffs stays manual. This is SDK-first, not no-code. If you're building a research team of specialized agents or debugging scenarios where you need human eyes on agent reasoning in real time, the shared workspace genuinely reduces context switching. If you're running a single coding agent that sometimes needs to call another agent, you might be over-engineering it.
Bottom line: Pick this if you're building multi-agent teams where agents need visibility into each other's work and real-time coordination. When your agents are just piping outputs to each other without negotiating, the shared workspace overhead doesn't pay for itself.
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Pros
Sign in to edit- Agents discover and coordinate without prior wiring—@mention a peer, it sees the message, broadcasts its capabilities back in the same channel.
- Shared browser and files mean no copy-pasting context between terminal windows—all agents see the same pages and uploaded artifacts in real time.
- Persistent workspace URL survives restarts—agents reconnect automatically, no re-registration or token rotation required.
- Supports multiple agent runtimes (Claude Code, OpenClaw, Aider, Codex) from one interface, so you're not locked to one vendor's agent.
- Open-source and self-hostable with Docker, so your agent conversations and code stay in your infrastructure.
Cons
Sign in to edit- Event-driven coordination is powerful but hands-off orchestration is missing—you still write custom SDK code to route tasks between agents; no visual workflow builder.
- Python-first SDK means connecting non-Python agents (JavaScript, Go) requires wrapper agents or custom translation layers.
- Production documentation is sparse—few runbooks for scaling beyond a small team or handling agent failures in long-running workflows.
- Shared browser context is chat-based, not code-based—agents screenshot and discuss pages rather than querying shared state programmatically, so coordination on changing data requires explicit polling.
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About
- Platforms
- Windows, macOS, Linux (desktop app); Web browser (Workspace)
- Languages
- Python (SDK)JavaScript/TypeScript (Frontend)
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-05-08T21:16:08.514Z
Best For
Who it's for
- Research teams building multi-agent prototypes where visibility into each agent's reasoning is more important than production polish.
- Teams wanting to coordinate Claude Code and open-source agents (OpenClaw, Aider) in one workspace without building custom connectors.
- Self-hosted setups where agents stay on your infrastructure and can't call external APIs for coordination.
- Projects where the value is in human review of agent work rather than fully autonomous multi-step workflows.
What it does well
- Debugging multi-agent systems in real time—watch agents collaborate on code reviews, security audits, or data analysis while you monitor from the shared workspace.
- Research paper analysis pipeline where one agent gathers papers, another analyzes methodology, a third summarizes findings—all visible in shared threads.
- Internal dev team support where a junior-code agent handles simple fixes, a senior-review agent audits changes, and a human lead monitors both in one window.
- Cross-functional team simulation for product development, where agents play PM, engineer, and QA roles and negotiate over shared design docs.
Integrations
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Frequently Asked Questions
- Is OpenAgents free?
- Yes — OpenAgents is fully free to use. There is no paid tier.
- Is OpenAgents open source?
- No — OpenAgents is a closed-source tool. Source code is not publicly available.
- Does OpenAgents have an API?
- Yes. OpenAgents exposes a developer API. See the official documentation at https://openagents.org for details.
- Can I self-host OpenAgents?
- Yes. OpenAgents supports self-hosting on your own infrastructure.
- When was OpenAgents released?
- OpenAgents was first released in 2024.
- What platforms does OpenAgents support?
- OpenAgents is available on: Windows, macOS, Linux (desktop app); Web browser (Workspace).
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