Startups · Scaleups

AI-Native Teams

Your team ships with AI-assisted coding, MCP servers, and autonomous agents. You don't have a compliance budget for a SaaS governance dashboard yet — and you don't need one. Import the library, own the policy, ship governed agents this afternoon.

Who this is for

  • Startup to scale engineering teams shipping agent-assisted code to production
  • Teams building with Claude, Copilot, Cursor, agent frameworks, or MCP servers
  • Small teams (2-10 devs) that enterprise governance platforms don't serve — because they're priced for $100K+ ACV buyers
  • Teams that will need SOC 2 eventually and want their agent-audit story to already be working when the auditor arrives

The shortest path

Open your agent's main entry point. Import hummbl_governance. Wrap your agent's external calls in a CircuitBreaker. Write every decision to the GovernanceBus. Add a KillSwitch check at your action boundary. Done.

You now have runtime attribution, adapter-level resilience, a kill switch, and an append-only audit log. You can halt the fleet in two seconds, degrade external calls safely, and answer "what did that agent do last Tuesday" with a grep.

No account signup. No dashboard to log into. No third-party runtime dependencies. Zero SaaS. The whole stack is Python stdlib.

What you gain

  • Incident response that works (kill switch, circuit breakers)
  • Cost-burn protection against runaway agent loops
  • An audit trail your future GC / future auditor will love
  • A governance story you can point to in your next investor conversation — differentiated from "we use Claude"
  • A foundation that scales — when you hit SOC 2 or Series B, the governance is already there

Ship governed agents in an afternoon:

$ pip install hummbl-governance →

See also