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 Google ADK by community traction (★ 52k vs ★ 21k). Pick LlamaIndex for RAG; pick Google ADK for multi-agent systems.
✓ Live data verified
| LlamaIndex | Google ADK | |
|---|---|---|
| GitHub stars | ★ 52k | ★ 21k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | RAG | multi-agent systems |
| Repository | run-llama/llama_index | google/adk-python |
LlamaIndex and Google ADK are both credible choices. By community traction, LlamaIndex leads (★ 52k). Pick LlamaIndex for RAG; pick Google ADK for multi-agent systems.
Both are credible agent frameworks. By community traction LlamaIndex leads (★ 52k). Pick LlamaIndex for RAG; pick Google ADK for multi-agent systems.
LlamaIndex is Data framework for connecting LLMs to private data — indexing, retrieval, and agentic RAG over your documents.. 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 has more — ★ 52k 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.
LlamaIndex is primarily Python; Google ADK is primarily Python.
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