A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: AutoGen leads AutoGen vs OpenAI Agents SDK by community traction (★ 60k vs ★ 29k). Pick AutoGen for conversational multi-agent; pick OpenAI Agents SDK for minimal orchestration.
✓ Live data verified
| AutoGen | OpenAI Agents SDK | |
|---|---|---|
| GitHub stars | ★ 60k | ★ 29k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | conversational multi-agent | minimal orchestration |
| Repository | microsoft/autogen | openai/openai-agents-python |
AutoGen and OpenAI Agents SDK are both credible choices. By community traction, AutoGen leads (★ 60k). Pick AutoGen for conversational multi-agent; pick OpenAI Agents SDK for minimal orchestration.
Both are credible agent frameworks. By community traction AutoGen leads (★ 60k). Pick AutoGen for conversational multi-agent; pick OpenAI Agents SDK for minimal orchestration.
AutoGen is Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools.. OpenAI Agents SDK is OpenAI's lightweight agent framework — a small set of primitives (Agents, Handoffs, Guardrails, Sessions); provider-agnostic via LiteLLM. Evolved from Swarm..
AutoGen has more — ★ 60k vs ★ 29k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
AutoGen is primarily Python; OpenAI Agents SDK is primarily Python.
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