Agent tooling for companies
Put a team of AI agents to work — safely.
A conversation with a team of AI agents — each in its own secure sandbox. Bring any AI provider, keep every agent boxed in its own sandbox, and let your software org manage the whole setup from one place.
Sandboxed execution · provider-flexible · network & spend guardrails
What you get
Everything a team needs to run agents in production.
From a single chat to a fully governed, multi-agent workspace — technical depth without the operational sprawl.
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One chat, many agents
Talk to a whole team of specialized agents in a single conversation. Hand each task to the right agent and watch the work happen inline — no context-switching between tools.
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Isolated by default
Every agent runs inside its own virtualized sandbox. Code, tools, and network access are contained — nothing touches your machine or your data unless you allow it.
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Any model, any provider
Bring your own AI. Route each agent to OpenAI, Anthropic, Google, OpenRouter, or a local model, and switch whenever you like. Flexible by design, never locked in.
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Security you can see
Network egress allowlists, per-project secrets, and spend guardrails are first-class. You set the boundaries; the platform enforces them on every turn.
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Skills & agents that last
Version, edit, and reuse skills and agents across projects. Your software org owns the setup in one place — no copy-paste drift, no mystery configuration.
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For everyone, builds anything
A conversation anyone on the team can use, with the depth to actually ship software — from a quick answer to a running app in a live preview.
How it works
From zero to a working agent in three steps.
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01
Create a project
Spin up a project and invite your team. Roles and membership decide who can do what.
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02
Configure your agents
Pick models, attach skills, and set network + spend guardrails. Global defaults, per-project overrides.
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03
Start a conversation
Agents plan, build, and run inside sandboxes — with a live preview when they ship something you can click.
Security model
Contained by default, governed on every turn.
Agents are powerful, so the boundaries have to be real. OpenAgents isolates each agent and enforces your organization's limits at the platform layer — not in a prompt.
- ✓ Per-conversation virtualized sandboxes
- ✓ Network egress allowlists
- ✓ Per-project secret management
- ✓ Operator-enforced spend guardrails
- ✓ Role-based project administration
- ✓ Bring-your-own AI provider keys
Questions
Frequently asked.
What is OpenAgents?
OpenAgents is agent tooling for companies. It gives your team a chat interface where multiple specialized AI agents collaborate, each running inside its own virtualized sandbox, under network and spend controls your organization sets.
Do I need to be technical to use it?
No. The conversation interface is designed for everyone from non-technical teammates to engineers. Non-technical users get a plain chat; technical users get the depth to build and run real software.
Which AI providers are supported?
OpenAgents is provider-flexible. You can route agents to OpenAI, Anthropic, Google, OpenRouter, or local models, and change providers per agent without being locked in.
How is my data kept secure?
Every agent runs in an isolated sandbox with network egress allowlists, per-project secret management, and operator-enforced spend guardrails. Boundaries are enforced by the platform, not left to convention.
Can it actually build software?
Yes. Beyond answering questions, agents write, run, and preview real software inside their sandboxes, so a single conversation can go from an idea to a working change.
Ready to give your agents a home?
Sign in to create your first project and start a conversation with your agents.
Get started