Bailing AI is a self-hosted agent control plane. It routes business events to models or executors, exposes selected OpenAPI/SDK tools to agents, enforces governance and approvals, records audit trails, and sends results back to your business system.
Expose selected actions through OpenAPI or SDK-generated specs. The agent only sees what the route allows.
Apply allowlists, risk levels, rate limits, human approval, HMAC signatures, audit logs, and trace data to every tool call.
Tool calls carry an on-behalf-of subject, but your backend remains the final authority for permissions.
Business system / web widget / inbound channel → Bailing AI route → context assembly: messages + memory + knowledge + page context → model or executor → governed business tools → signed business API call → business backend verifies signature and checks its own permissions
Bailing AI focuses on controlled business actions, audit trails, traceability, and delivery back to the system that triggered the task.
Routes configure models, memory, knowledge, tools, approvals, and delivery. Agents can act dynamically inside governed boundaries.
MCP is a tool protocol ecosystem. Bailing AI is the business-side control plane around tools, identity, risk, and audit.
Keep your backend, database, permission table, and business processes. Add a governed AI control plane next to them.
Start with Docker Compose, inspect the demo route and tool provider, then connect one read-only API from your own system.