# LlamaIndex

> Framework for connecting LLMs and agents to your own documents and data.

## Facts
- **Category:** [Agent Frameworks](https://agentsearchengine.app/category/agent-frameworks)
- **Type:** Framework
- **Pricing:** Open source
- **GitHub stars:** 52,282
- **License:** MIT
- **Last repo activity:** today (Sep 22, 2026)
- **Official site:** https://developers.llamaindex.ai
- **Source code:** https://github.com/run-llama/llama_index
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/llamaindex
- **Data verified:** September 2026

## Best for
Retrieval-heavy applications where the hard part is getting your own documents and data into an agent reliably.

## Avoid if
Your agent does not read private data, in which case most of the framework goes unused.

## About LlamaIndex
LlamaIndex provides ingestion, indexing, retrieval and query engines for building RAG and agent applications over private data, plus workflow primitives for multi-step agents. The open-source Python framework is MIT licensed; LlamaCloud and LlamaParse are the company's separate hosted, paid services.

## Alternatives
LlamaIndex sits in agent frameworks. Related tools indexed here:
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- [smolagents](https://agentsearchengine.app/agents/smolagents) — Minimal agent library where agents write their actions as Python code. · Open source · Framework · 29k★ · Apache-2.0 · active 28 days ago
- [pydantic-ai](https://agentsearchengine.app/agents/pydantic-ai) — AI Agent Framework, the Pydantic way · Open source · Framework · 20k★ · Python · MIT · active 8 days ago
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- [SuperAGI](https://agentsearchengine.app/agents/superagi) — <> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably. · Open source · Framework · 18k★ · Python · MIT · active 1 year ago

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Source: [Agent Search Engine](https://agentsearchengine.app) — an independent, hand-curated index of AI agents, MCP servers, and frameworks. Rankings are never sold; sponsored placements are labeled and never numbered. Full directory: https://agentsearchengine.app/llms-full.txt
