🏆 Top pickOpen source
LangGraph
Code-first framework for stateful, multi-step agents with explicit control flow, persistence and human-in-the-loop. Widely used and available in Python and JavaScript.
✅ Pick it if
You're a developer who wants fine control over agent logic.
⛔ Skip it if
You want drag-and-drop with no code.
Pricing: Open source (MIT); hosted platform paid (check site)
Visit LangGraph Sources: [1][2]
Runner-up #1Open source
Dify
Visual builder for agents, RAG and workflows with a polished UI and self-hosting option. A good middle ground for teams with mixed technical skills.
✅ Pick it if
You want a visual builder you can self-host.
⛔ Skip it if
You need deep custom control flow beyond its node model.
Pricing: Open source self-host; cloud plans (check site)
Visit Dify Sources: [1][2]
Runner-up #2Open source
CrewAI
Python framework built around role-based 'crews' of agents collaborating on tasks. Quick to get a multi-agent prototype running.
✅ Pick it if
Your problem maps naturally onto a team of specialised agents.
⛔ Skip it if
You need low-level control of every step and state transition.
Pricing: Open source (MIT); enterprise platform (check site)
Visit CrewAI Sources: [1][2]