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 Google ADK vs LlamaIndex by community traction (★ 51k vs ★ 21k). Pick Google ADK for multi-agent systems; pick LlamaIndex for RAG.
✓ Live data verified
| Google ADK | LlamaIndex | |
|---|---|---|
| GitHub stars | ★ 21k | ★ 51k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | multi-agent systems | RAG |
| Repository | google/adk-python | run-llama/llama_index |
Google ADK and LlamaIndex are both credible choices. By community traction, LlamaIndex leads (★ 51k). Pick Google ADK for multi-agent systems; pick LlamaIndex for RAG.
Both are credible agent frameworks. By community traction LlamaIndex leads (★ 51k). Pick Google ADK for multi-agent systems; pick LlamaIndex for RAG.
Google ADK is Google's Agent Development Kit — a code-first, model-agnostic toolkit for building, evaluating, and deploying multi-agent systems. Optimized for Gemini.. LlamaIndex is Data framework for connecting LLMs to private data — indexing, retrieval, and agentic RAG over your documents..
LlamaIndex has more — ★ 51k vs ★ 21k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Google ADK is primarily Python; LlamaIndex is primarily Python.
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