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 LlamaIndex vs Strands Agents by community traction (★ 52k vs ★ 6.9k). Pick LlamaIndex for RAG; pick Strands Agents for AWS/Bedrock agents.
✓ Live data verified
| LlamaIndex | Strands Agents | |
|---|---|---|
| GitHub stars | ★ 52k | ★ 6.9k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | RAG | AWS/Bedrock agents |
| Repository | run-llama/llama_index | strands-agents/sdk-python |
LlamaIndex and Strands Agents are both credible choices. By community traction, LlamaIndex leads (★ 52k). Pick LlamaIndex for RAG; pick Strands Agents for AWS/Bedrock agents.
Both are credible agent frameworks. By community traction LlamaIndex leads (★ 52k). Pick LlamaIndex for RAG; pick Strands Agents for AWS/Bedrock agents.
LlamaIndex is Data framework for connecting LLMs to private data — indexing, retrieval, and agentic RAG over your documents.. 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 has more — ★ 52k vs ★ 6.9k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
LlamaIndex is primarily Python; Strands Agents is primarily Python.
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