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.

Microsoft's multi-agent conversation framework (now in maintenance mode).

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.

Stateful AI agents with long-term memory (formerly MemGPT).

An all-in-one platform for building and deploying LLM-powered AI agents.
Unreal plugin wiring Claude, GPT and Gemini into UE5 (no GPU needed)
Apache-2.0 MCP server that gives an AI agent a Unity Editor build-and-test loop
Claude Code configuration pack: 49 agent personas + skills for game dev
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 97 projects here are hand-reviewed, and their GitHub stats (2082k+ stars combined) refresh weekly.












































































