Picking an Open-Source Agent Framework: LangGraph, CrewAI, and AutoGen
The first decision in any agentic project isn't which model to use. It's which framework will orchestrate it. Get that wrong and you inherit a stack you can't run locally, can't afford to scale, and can't escape when the vendor changes the API.
This is a JigsawFlux project. JigsawFlux builds open-source tools for health tech, humanitarian response, and crisis management — in places where "cloud-native" is not an option and IT budgets are measured in grants, not headcount. That context imposes hard constraints on every architecture decision: portability, cost, and freedom from vendor lock-in.
The frameworks here — LangGraph, CrewAI, and AutoGen — were chosen because they meet those constraints. They are open source, actively maintained, and run entirely on hardware you own. Alternatives like Microsoft Semantic Kernel or Amazon Bedrock Agents are capable, but they introduce hard dependencies on specific cloud ecosystems. That trade-off doesn't fit the JigsawFlux model.