All repositories

Agent frameworksrun-llama

llama_index

A framework that connects an LLM to your own data: it reads documents, builds indexes and search, and can assemble agents on top.

Who it is for

For people building assistants over their own documents and knowledge bases.

How to start

  1. Install the core: pip install llama-index-core.
  2. Add the modules you need, e.g. pip install llama-index-llms-openai.
  3. For a local model, use pip install llama-index-llms-ollama.

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+451Sep 6 — Oct 5
51,96252,413

Author's description

LlamaIndex is the document processing platform for AI

Significant-Gravitas

AutoGPT

A platform where you build agents in a visual builder or by describing them in plain words, then run them on a schedule or a trigger. Hosted version plus free self-hosting.

188Kstars+809 in 30 dPython

langchain-ai

langchain

The best-known toolkit for LLM apps: one interface to dozens of models, plus tools, chains and agents. You can swap providers without rewriting the app.

147Kstars+1.9K in 30 dPython

browser-use

browser-use

Growing fastest

A library that lets an agent drive a browser: open sites, click, fill in forms. Works with a local browser or a cloud one.

117Kstars+4.9K in 30 dPython

FoundationAgents

MetaGPT

A multi-agent framework that plays out a whole software company: product manager, architect and engineer take roles and turn one sentence into a project together.

71Kstars+639 in 30 dPython

mem0ai

mem0

A memory layer for agents: it remembers facts about the user across sessions and pulls up the right ones at the right moment, keeping context small.

67Kstars+2K in 30 dPython

microsoft

autogen

Microsoft's framework for agents that talk to each other. It has the high-level AgentChat API and AutoGen Studio, a no-code graphical interface.

61Kstars+553 in 30 dPython