CrewAI
Definition
Multi-agent AI framework enabling role-based teams of AI agents that coordinate, delegate tasks, and collaborate toward shared goals. Supports sequential and parallel execution with hierarchical and collaborative coordination patterns. Orchestrates multi-agent workflows but provides no execution governance for individual agent actions.
Why It Matters
Multi-agent systems multiply the attack surface. If one agent has a 1% failure rate, five agents coordinating have compounded failure. More agents = more unvalidated tool calls = more risk. CrewAI coordinates who does what. Nothing validates whether each action is safe.
How Exogram Addresses This
Exogram governs every action every agent in the crew proposes. Each agent's tool calls pass through the same 8 deterministic policy rules. Agent A can be blocked while Agent B passes — per-action governance, not per-agent.
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