Microsoft AutoGen
Definition
Microsoft's framework for building multi-agent conversational AI systems. Agents negotiate, delegate, and execute tasks through conversations. Supports human-in-the-loop patterns (optional) and group chat coordination. Conversational coordination does not prevent bad decisions from executing.
Why It Matters
AutoGen enables agents to discuss and agree on actions — but agreement doesn't equal safety. Agents can negotiate a destructive action through conversation. Human-in-the-loop adds latency (seconds to minutes) and is optional. Governance should be infrastructure, not a UX pattern.
How Exogram Addresses This
Exogram enforces boundaries on every action that emerges from AutoGen's conversational loops. Human-in-the-loop adds seconds. Exogram adds 0.07ms. One is optional. The other is always-on.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees