Agent Frameworks
🎯 AutoGen vs LangGraph
Community Vote — Which tool wins?
AutoGen
Tool AOpen-source framework for creating multi-agent AI systems where multiple AI agents collaborate to solve complex problems through structured conversations, role-based interactions, and autonomous task execution.
Starting Price
Open-source
Key Strengths
- ✓GroupChat and speaker selection patterns enable sophisticated multi-agent debates and collaborative problem-solving
- ✓Built-in code execution with Docker sandboxing lets agents write, run, and iterate on code safely
- ✓AutoGen 0.4's event-driven runtime supports distributed multi-process agent deployments via gRPC
LangGraph
Tool BGraph-based stateful orchestration runtime for agent loops.
Starting Price
Open-source + Cloud
Key Strengths
- ✓Graph-based state machine gives precise control over execution flow with conditional branching, loops, and cycles
- ✓Built-in checkpointing enables time-travel debugging, human-in-the-loop approval, and fault-tolerant resume from any step
- ✓Subgraph composition lets you build complex multi-agent systems from reusable, independently testable graph components
Which would you choose for...
Vote in each scenario below