Deploy AI agents
that your whole company can use
Use them from every AI client, business tool, and internal system you run. Via MCP, A2A, webhooks, or scheduled runs. Your choice.

Stop running AI agents as personal experiments.
Run them like services your company depends on.
“A customer reports a bug in Slack”
The agent checks your logs, finds the error, creates a ticket in Linear with full context, and replies to the customer. In seconds.
“A new contract lands in your inbox”
The agent extracts key terms, flags non-standard clauses against your playbook, logs it in your CRM, and drafts a summary for the legal team. In seconds.
“A new service needs to be provisioned”
The agent scaffolds the repo, configures CI/CD, sets up monitoring, and opens a PR with everything wired together. Ready for review.
One manifest. Full control.
Declare agents, tools, sub-agents, and permissions in a single YAML file. No click-through wizards, no runtime surprises. Version it. Review it. Deploy it.
agents:root:model: sonnetdescription: "Provisions production-ready services end-to-end"sub_agents: [architect, scaffolder, infra, pipeline, auditor]toolsets:- type: mcpref: github-officialenv:GITHUB_PERSONAL_ACCESS_TOKEN: ${env.GITHUB_PERSONAL_ACCESS_TOKEN}- type: mcpref: slack# Sub-agents handle specific tasksarchitect:model: haikudescription: "Scans org repos for patterns and produces a blueprint"scaffolder:model: gpt-4.1-minidescription: "Creates repos by copying existing service patterns"permissions:deny:- "shell:cmd=gh repo delete*"- "shell:cmd=rm -rf*"
Currently supports Docker Agent manifests. More formats coming soon.
Push to GitHub. Agents go live.
Every push triggers a deployment. Branch previews, environment promotion, and rollback are built in. You deploy agents the same way you deploy the services your company already runs.

Open protocols. Zero lock-in.
Expose agents over MCP, A2A, or webhooks. Trigger them on a schedule. Connect to Claude Desktop, Cursor, Slack, GitHub, and hundreds more. All from one platform.
Every trace. Every token. Every cost.
Every session becomes a full trace. See model calls, tool calls, latency, tokens, and cost in a single view. Built in, not bolted on.

The full agent lifecycle.
From manifest to monitoring.
Define how agents work, who can reach them, and what they cost.
Built on standards,
not proprietary APIs
MCP and A2A. Every integration point uses an open protocol. No vendor lock-in, no proprietary SDKs to maintain.
Connect to Claude Desktop, Cursor, VS Code, and any MCP client
Google's agent-to-agent protocol for multi-agent orchestration
Agents that know
your company
Every agent inherits context from your organization. Per-user profiles, shared integrations, and scoped variables. So your agents understand who they're working with and what they have access to.
Secure by design,
not by accident
OAuth 2.1, API keys, connected accounts, permission deny lists, and sandbox isolation for running commands. All built in.

Choose the model.
Tune the rest.
Use platform-managed models or bring your own API keys. Configure at org, project, or individual agent level. See model pricing upfront and track actual usage and costs.
Hundreds of integrations,
one click to enable
Browse the MCP server catalog and enable GitHub, Slack, AWS, and more with a single click. Platform-managed or bring your own.

Multi-Environment
Deploy to development, staging, and production. Branch-based previews for every PR.
Version History
Track every agent version by commit. Live deployment statuses and one-click rollback.
Observability
Instance health, logs, usage tracking, and cost insights.
Knowledge & Memory
RoadmapGive agents access to company knowledge. Shared memory across conversations and sessions.
Skills
RoadmapReusable agent capabilities. Define once, share across agents and teams.
Stop building agent infrastructure.
Start deploying them.
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