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 Strands Agents vs AutoGen by community traction (★ 60k vs ★ 6.8k). Pick Strands Agents for AWS/Bedrock agents; pick AutoGen for conversational multi-agent.
✓ Live data verified
| Strands Agents | AutoGen | |
|---|---|---|
| GitHub stars | ★ 6.8k | ★ 60k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | AWS/Bedrock agents | conversational multi-agent |
| Repository | strands-agents/sdk-python | microsoft/autogen |
Strands Agents and AutoGen are both credible choices. By community traction, AutoGen leads (★ 60k). Pick Strands Agents for AWS/Bedrock agents; pick AutoGen for conversational multi-agent.
Both are credible agent frameworks. By community traction AutoGen leads (★ 60k). Pick Strands Agents for AWS/Bedrock agents; pick AutoGen for conversational multi-agent.
Strands Agents is AWS's model-driven agent SDK — give it a prompt and tools and let the model plan, call tools, and reflect in a loop. First-class Bedrock, MCP-native, OpenTelemetry tracing.. AutoGen is Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools..
AutoGen has more — ★ 60k vs ★ 6.8k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Strands Agents is primarily Python; AutoGen is primarily Python.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.