The best way to run any AI agent in your company.
One place for your team to run every agent. Easy setup, hard boundaries on what agents can do, and every safeguard open-source.
100+ agents available in the registry
Runtime
Integrations
Budget per run
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Every AI agent your company needs. One place to run them all.
Run anything. Lock in nothing.
Any agent runtime. Any model. Any tools. One YAML file. When something better ships, swap it in. Your platform never becomes the bottleneck.
New agent Friday, running Monday.
Open-source library with community-contributed agents. When a new capability emerges in the ecosystem, your team doesn't file a feature request. They add it.
Not just engineering.
Co-CEO. Support agent. Executive assistant. This isn't a coding tool with an agent bolted on. It's an operating layer for running AI across your entire company — with every action permissioned and audited.
Open-source means you’re never waiting on us either.
How it works
One config file. Secrets isolated. Permissions enforced. Every action audited.
Agents never see your secrets.
Credentials are injected at runtime through an integration gateway. The model never has access.
Every action is permissioned.
Three modes per action: off, on, or ask — which pauses for human approval.
Config lives in git.
One YAML file defines an agent. Version-controlled. Reproducible. No platform lock-in.
runtime: claude-codename: pr-reviewermodel: opuspermissions: github: create_pr: on delete_branch: ask # pauses for human approval push_to_main: offintegrations: github: token: vault://github/prod-token slack: token: vault://slack/bot-token linear: token: vault://linear/api-keyOpen source
You should be able to read the code that controls what AI can do in your company.
Business Source License
Self-host it, fork it, audit it. The commercial layer adds team management and hosted infrastructure — the runtime is yours.
Star on GitHub
Follow development, report issues, contribute. The entire agent runtime is public.
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