Best Open-Source AI Tools, Ranked by GitHub Stars
Hand-picked open-source AI projects — vector databases, LLM frameworks, local model runners, coding agents, and more — ranked by live GitHub stars, with license and activity so you can pick what fits.

n8n is an open-source workflow automation platform that lets users build complex automations through a visual, node-based interface

Langflow is an open-source, low-code visual builder for creating AI agents, RAG applications, and MCP servers

Open-source autonomous coding agent for VS Code that runs on your own model API keys.

Flowise is an open-source visual builder for creating LLM applications and AI agents using a drag-and-drop interface

An open-source terminal pair-programmer that edits your code and commits to git.

Continue is an open-source AI coding assistant that brings autocomplete, in-IDE chat, and agentic edits to VS Code and JetBrains, with support for any model.
Star counts, licenses, and activity are pulled live from the GitHub API and refreshed weekly.
Why choose open-source AI tools?
Open-source AI tools let you self-host for data control, avoid vendor lock-in, and often run for free. The trade-off is that you manage more yourself. The stars, license, and last-commit date on this page are a quick read on popularity, commercial-use rights, and whether a project is actively maintained — the three things that matter most when betting on open source. All 20 projects here are hand-reviewed, and their GitHub stats (1402k+ stars combined) refresh weekly.













