Feature comparison
| Feature | OpenLAM | AutoGPT | CrewAI | LangChain Agents | AutoGen | Devin |
|---|---|---|---|---|---|---|
| Type | LAM platform (autonomous workforce) | Autonomous agent | Multi-agent framework | Agent framework / library | Multi-agent framework | AI software engineer |
| Open source | Yes (AGPL-3.0) | Yes | Yes | Yes | Yes | No (proprietary) |
| Self-host free | Yes | Yes | Yes | Yes | Yes | No |
| Ready-made workforce | Yes — 100+ agents | — | You define crews | You build it | You build it | Single coding agent |
| Ships a model | Yes — OpenLAM 72B (or BYO) | No (BYO LLM) | No (BYO LLM) | No (BYO LLM) | No (BYO LLM) | Bundled (closed) |
| Tool / plugin ecosystem | Yes + MCP | Plugins | Tools | Large tool set | Tools | Built-in dev tools |
| Governance / approvals | Built-in | — | — | You add it | — | Limited |
| Self-correction loop | Built-in | Basic | You add it | You add it (LangGraph) | You add it | Yes (coding) |
| Managed cloud option | Yes | Platform (beta) | Enterprise | LangGraph Platform | — | Yes (paid) |
| Best for | A full autonomous AI company | Experiments / autonomy demos | Role-based agent teams in code | Custom agent apps in code | Research / multi-agent chats | Autonomous coding tasks |
Comparison reflects each project's public positioning at the time of writing; frameworks evolve quickly, so verify specifics against each project's current docs.
Which should you choose?
Choose an agent framework (CrewAI, LangChain/LangGraph, AutoGen) when you want to hand-build orchestration in code and have engineering time to invest. Choose AutoGPT to experiment with open-ended autonomy. Choose Devin for autonomous coding tasks. Choose OpenLAM when you want a complete, open-source autonomous workforce — planning, tools, governance, self-correction, a society of 100+ agents and an included model — without assembling the stack yourself. New to the category? Start with What is a LAM?