Agent Frameworks
Best AI Agent Frameworks for Developers
Agent frameworks organize model calls, tools, state, memory, handoffs, and traces into repeatable application structure.
Search intent: Compare frameworks before committing to an agent runtime, workflow model, or orchestration style.
Last reviewed
May 11, 2026
Tools considered
5
Open source options
5
Definition
An agent framework is the application layer that turns model calls into controlled workflows with tools, state, and evaluation hooks.
Use cases
- Tool-using assistants
- Long-running workflows with checkpoints
- Multi-agent collaboration and review loops
Selection criteria
- Does the framework match your state model?
- Can you test and replay agent runs?
- Will the deployment runtime fit your team's stack?
Selection advice
Choose the framework that makes failure modes visible. A simpler SDK with strong tracing usually beats a large abstraction that hides state.