Here, you're not choosing a ready-made assistant: you're choosing the foundation to build your own agents. All three are open source and free — what costs money is the model calls your agents consume. What sets them apart is the building model. CrewAI thinks in teams: agents with roles that chain tasks together. LangGraph thinks in graphs: connected steps, controlled one by one. AutoGen thinks in conversation: agents that debate in a group until they converge.
News (November 2026): Microsoft has archived the AutoGen project — no more fixes or support, not recommended for production; its official successor is Microsoft Agent Framework. CrewAI and LangGraph remain actively developed.
The comparison below is based on the three profiles in the directory (prices verified on October 29, 2026). Target audience: developers and technical profiles.
Our verdict never depends on a commission: affiliate links are disclosed, and they change neither the order of this comparison nor its conclusion. (Our Method)
| Criterion | CrewAI | LangGraph | AutoGen |
|---|---|---|---|
| Building model | "Crews": you define agents with a role, a goal and tools (a researcher, a writer, a reviewer), and they chain their tasks in the order you set. | A graph: nodes (steps, model calls, tools), edges (transitions, conditions, loops) and a shared state. | A group conversation (GroupChat): agents respond to each other, critique each other and converge on a solution, with or without a human in the loop. |
| Level of control | Through roles and task order: easy to reason about, less fine-grained on branching. | The finest of the three: error recovery and human validation at the points you choose. | Through conversation rules: powerful for debate, more unpredictable in how it unfolds. |
| Price | $0 for the open source framework (MIT license) and the basic platform (50 runs/month); enterprise platform by quote, plus the cost of model calls. | Free open source library; you pay for model calls, and LangSmith if you take it (free to start, then $39/user/month). | Free open source (Microsoft); only the models' API calls are at your expense — a multi-turn debate costs several times a simple answer. |
| Ecosystem | A dedicated framework, with an optional hosted platform. | The LangChain ecosystem; optional associated hosted services (LangSmith). | A Microsoft project, now integrated into the Microsoft Agent Framework ecosystem; the community keeps the AG2 branch alive. |
| Difficulty | Advanced. | Advanced. | Advanced. |
| Guardrails to know | Each agent you add multiplies model calls: cap the number of steps and watch the bill from the first tests. One agent's errors are picked up unquestioned by the next ones: check the final deliverable. | A graph can loop: set a maximum number of iterations per run and a budget per task. Provide human validations before any irreversible step (sending, payment, deletion). | Without a strict stopping condition, two polite agents can pass the ball back and forth indefinitely — and bill you at every turn. Cap turns and budget, and keep a human in the loop for topics that matter. |
The code, yes: all three are open source. What costs money is the model calls your agents consume — and, optionally, the hosted platforms: CrewAI Enterprise by quote; LangSmith free to start, then $39/user/month.
CrewAI, according to our profiles: defining roles and a task order is the most straightforward model. LangGraph requires thinking in graphs; AutoGen, framing a conversation between agents.
LangGraph: it's the one that offers the finest control — steps, bounded loops, human validations. In all cases, cap the budget per task: none of the three does it for you by default.
Comparison updated on October 31, 2026 — see what's new in the directory.