Editorial guide
AI Agent Frameworks Compared
By TechAIOrbit · Published
Agent frameworks encode different control models. Pick the smallest one matching your state, retries, approval, and observability needs.
Last verified: 2026-09-14. This compares documented architecture, not accuracy.
Architecture matrix
| Framework | Primary abstraction | Strong fit |
|---|---|---|
| LangGraph | Stateful graph/runtime | Long-running workflows and checkpoints |
| CrewAI | Agents, crews, and flows | Role-oriented multi-agent workflows |
| Microsoft Agent Framework | Agents and workflows | Python/C# and Microsoft hosting |
| Pydantic AI | Typed Python agent | Schema-first Python applications |
Decision sequence
- Use a direct model SDK if one bounded tool loop is enough.
- Add typed state for multi-step workflows.
- Add checkpoints only when recovery requires them.
- Keep authorization and irreversible actions outside model discretion.
- Test timeout, malformed tool result, duplicate action, and human rejection.
A framework does not supply product security. Your app still owns validation, permissions, idempotency, logs, and cost limits.