A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: LlamaIndex leads Strands Agents vs LlamaIndex by community traction (★ 51k vs ★ 6.8k). Pick Strands Agents for AWS/Bedrock agents; pick LlamaIndex for RAG.
✓ Live data verified
| Strands Agents | LlamaIndex | |
|---|---|---|
| GitHub stars | ★ 6.8k | ★ 51k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | AWS/Bedrock agents | RAG |
| Repository | strands-agents/sdk-python | run-llama/llama_index |
Strands Agents and LlamaIndex are both credible choices. By community traction, LlamaIndex leads (★ 51k). Pick Strands Agents for AWS/Bedrock agents; pick LlamaIndex for RAG.
Both are credible agent frameworks. By community traction LlamaIndex leads (★ 51k). Pick Strands Agents for AWS/Bedrock agents; pick LlamaIndex for RAG.
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.. LlamaIndex is Data framework for connecting LLMs to private data — indexing, retrieval, and agentic RAG over your documents..
LlamaIndex has more — ★ 51k 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; LlamaIndex 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.