The best AI agent framework in 2026
Agent frameworks handle the plumbing for LLM apps that call tools and run multi-step workflows. The right one depends on how much control you need over state and how tied you are to one model provider.
Updated Nov 2, 2026 · Editorial, not sponsored
Our picks
- #1LangChain / LangGraph
Open-source framework for LLM apps and stateful agents. Largest ecosystem; LangGraph for production agents. Best for complex, controllable agent workflows. Pricing: free plan available.
- #2OpenAI Agents SDK
Lightweight open-source SDK for multi-agent workflows. Simple primitives, built-in tracing. Best for teams on openai models. Pricing: free plan available.
- #3CrewAI
Framework for role-based multi-agent crews. Easiest mental model for multi-agent teams. Best for multi-agent role-play setups. Pricing: free plan available.
How to choose
- Complex, long-running workflows with branching: choose a graph-based framework.
- Mostly on one provider's models and want something small: use that provider's SDK.
- Multiple specialised agents working together: try a crew-style framework.
Full agent frameworks ranking
- 1FreeComplex, controllable agent workflows
Open-source framework for LLM apps and stateful agents
Why it ranks · Largest ecosystem; LangGraph for production agents
FreeComplex, controllable agent workflows
- 2FreeTeams on OpenAI models
Lightweight open-source SDK for multi-agent workflows
Why it ranks · Simple primitives, built-in tracing
FreeTeams on OpenAI models
- 3FreeMulti-agent role-play setups
Framework for role-based multi-agent crews
Why it ranks · Easiest mental model for multi-agent teams
FreeMulti-agent role-play setups
- 4FreeTypeScript/JS developers
- 5FreeResearch and multi-agent experiments
Open-source multi-agent conversation framework
FreeResearch and multi-agent experiments
- 6FreeRAG over documents
How we rank: read the methodology.