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⭐ GitHub Stars Leaderboard

Open Source AI Tools:
GitHub Stars Leaderboard 2026

GitHub stars are the most objective measure of community adoption for open source AI tools. This leaderboard tracks the top 50 most-starred open source AI tools, updated monthly. Data sourced directly from GitHub via automated weekly sync.

✓ Last Updated: June 2026 Auto-synced weekly via GitHub Actions
📊
300+
Total Tools Tracked
⭐
4.2M+
Total GitHub Stars
🗓️
June 2026
Last Updated
🗂️
3
Categories
🤖 AI Tools
Top tool: Ollama
172,789 ⭐
20 tools in leaderboard · Local LLMs, image generation, voice, and more
⚙️ Skill Frameworks
Top tool: Transformers
161,145 ⭐
17 tools in leaderboard · Vector DBs, inference, fine-tuning, RAG
🚀 AI Agents
Top tool: n8n
190,545 ⭐
13 tools in leaderboard · Workflow automation, code agents, multi-agent

Key Facts — June 2026

As of June 2026, the most starred open source AI tool is n8n with 190,545 GitHub stars.

The top 10 most popular open source AI tools collectively have over 1.5 million GitHub stars.

Ollama is the most popular local LLM tool with 172,789 GitHub stars as of June 2026.

Among AI agent frameworks, n8n leads with 190,545 stars, followed by AutoGPT at 184,687 stars.

LangChain remains the most popular LLM framework with 103,421 GitHub stars.

The fastest-growing category in open source AI is AI Agents, with 8 of the top 20 tools being agent frameworks.

Filter:

Showing 50 tools

# Tool Category GitHub Stars License
1 n8n
Low-code workflow automation with 400+ integrations
 🚀 AI Agent ⭐190.5k Sustainable Use
2 AutoGPT
Autonomous AI agent platform
 🚀 AI Agent ⭐184.7k MIT
3 Ollama
Run LLMs locally on your machine
 🤖 AI Tool ⭐172.8k MIT
4 Stable Diffusion WebUI
Browser UI for Stable Diffusion
 🤖 AI Tool ⭐163.4k AGPL-3.0
5 Transformers
State-of-the-art ML for PyTorch and TensorFlow
 ⚙️ Skill Framework ⭐161.1k Apache-2.0
6 Open WebUI
Self-hosted web UI for Ollama
 🤖 AI Tool ⭐139.5k MIT
7 Langflow
Visual AI agent and RAG builder
 🚀 AI Agent ⭐149.0k MIT
8 Dify
LLM app development platform
 🚀 AI Agent ⭐143.4k Apache-2.0
9 llama.cpp
Fast LLM inference in C/C++
 🤖 AI Tool ⭐114.1k MIT
10 Browser Use
AI-powered browser automation
 🚀 AI Agent ⭐96.5k MIT
11 MCP Servers
Model Context Protocol reference implementations
 🚀 AI Agent ⭐86.6k —
12 vLLM
High-throughput LLM serving
 🤖 AI Tool ⭐81.5k Apache-2.0
13 Whisper
OpenAI's speech recognition
 🤖 AI Tool ⭐81.3k MIT
14 GPT4All
Run powerful LLMs locally
 🤖 AI Tool ⭐77.4k MIT
15 Diffusers
Diffusion models library by Hugging Face
 ⚙️ Skill Framework ⭐76.1k Apache-2.0
16 OpenHands
AI software development platform
 🚀 AI Agent ⭐75.5k MIT
17 ComfyUI
Node-based Stable Diffusion UI
 🤖 AI Tool ⭐75.1k GPL-3.0
18 Segment Anything
Meta's universal image segmentation
 🤖 AI Tool ⭐71.2k Apache-2.0
19 MetaGPT
Multi-agent software team framework
 🚀 AI Agent ⭐68.5k MIT
20 Open Interpreter
Code execution agent
 🚀 AI Agent ⭐63.8k AGPL-3.0
21 Cline
VS Code autonomous coding agent
 🚀 AI Agent ⭐62.6k Apache-2.0
22 AutoGen
Microsoft multi-agent framework
 🚀 AI Agent ⭐58.6k MIT
23 GPT-Engineer
Natural language to codebase
 🚀 AI Agent ⭐55.2k MIT
24 Flowise
Drag-drop LLM workflow builder
 🚀 AI Agent ⭐53.2k Apache-2.0
25 CrewAI
Role-based AI agent orchestration
 🚀 AI Agent ⭐52.6k MIT
26 Whisper.cpp
Fast Whisper in C++
 🤖 AI Tool ⭐50.3k MIT
27 Bark
Text-to-audio model
 🤖 AI Tool ⭐47.5k MIT
28 Text Generation WebUI
Web UI for local LLMs
 🤖 AI Tool ⭐47.3k AGPL-3.0
29 LocalAI
Local OpenAI-compatible API
 🤖 AI Tool ⭐46.6k MIT
30 Real-ESRGAN
AI image upscaling
 🤖 AI Tool ⭐44.9k BSD-3
31 Milvus
Vector database for AI
 ⚙️ Skill Framework ⭐44.6k Apache-2.0
32 Jan
Offline ChatGPT alternative
 🤖 AI Tool ⭐42.8k Apache-2.0
33 LangChain
LLM application framework
 ⚙️ Skill Framework ⭐103.4k MIT
34 Agno
Multi-modal agent library
 🚀 AI Agent ⭐40.4k Apache-2.0
35 Faiss
Facebook similarity search library
 ⚙️ Skill Framework ⭐40.2k MIT
36 Axolotl
LLM fine-tuning tool
 ⚙️ Skill Framework ⭐40.1k Apache-2.0
37 LlamaIndex
Data framework for LLM apps
 ⚙️ Skill Framework ⭐97.8k MIT
38 SadTalker
Talking head video generation
 🤖 AI Tool ⭐38.5k MIT
39 GPT-Researcher
Autonomous web research agent
 🚀 AI Agent ⭐38.2k Apache-2.0
40 DeepSpeed
Deep learning optimization
 ⚙️ Skill Framework ⭐37.2k Apache-2.0
41 Qdrant
High-performance vector search
 ⚙️ Skill Framework ⭐31.7k Apache-2.0
42 Chroma
AI-native vector database
 ⚙️ Skill Framework ⭐28.2k —
43 PEFT
Parameter-efficient fine-tuning
 ⚙️ Skill Framework ⭐27.1k Apache-2.0
44 MLX
Apple Silicon ML framework
 ⚙️ Skill Framework ⭐26.5k MIT
45 Llamafile
Single-file LLM executable
 🤖 AI Tool ⭐24.6k —
46 pgvector
PostgreSQL vector search
 ⚙️ Skill Framework ⭐21.5k —
47 AnimateDiff
Video animation with diffusion
 🤖 AI Tool ⭐21.1k —
48 BentoML
ML model serving framework
 ⚙️ Skill Framework ⭐20.2k Apache-2.0
49 Weaviate
Vector database with semantic search
 ⚙️ Skill Framework ⭐16.3k BSD-3
50 LangFuse
LLM observability and analytics
 ⚙️ Skill Framework ⭐16.1k MIT

Frequently Asked Questions

As of June 2026, n8n is the most starred open source AI tool with over 190,000 GitHub stars. n8n is a low-code workflow automation platform that integrates with 400+ services, making it the most widely adopted open source AI agent tool in the ecosystem. It is followed by AutoGPT (184,687 stars) and Ollama (172,789 stars).
GitHub star counts are automatically synced every week via GitHub Actions. The leaderboard page is published monthly with the latest ranking data. Our data pipeline runs every Monday at 03:00 UTC, pulling fresh star counts from the GitHub API for all 300+ tracked tools. The "Last Updated" timestamp at the top of the page reflects when data was last synced.
GitHub stars are the most objective measure of community adoption for open source tools. A high star count indicates that developers have bookmarked the repository, which correlates strongly with real-world usage, active community support, and long-term maintenance health. Stars are harder to inflate than download counts and represent genuine developer interest. While not a perfect metric, stars combined with commit frequency and issue activity provide a reliable signal of a tool's ecosystem health.
Ollama leads local LLM tools with 172,789 GitHub stars as of June 2026. Ollama makes it simple to run large language models like Llama 3, Mistral, and Phi-3 locally on your machine with a single command. It is followed by llama.cpp (114,085 stars) for C++ inference, GPT4All (77,352 stars) for consumer hardware, and vLLM (81,544 stars) for high-throughput server deployments.
All tools in this leaderboard are open source and publicly available on GitHub. The majority use permissive licenses such as MIT or Apache-2.0, which allow free commercial and personal use. A smaller number use copyleft licenses (GPL-3.0, AGPL-3.0) that require derivative works to also be open sourced. n8n uses the Sustainable Use License, which is open source for personal use but restricts large-scale commercial deployment. License details are shown for every entry so you can make an informed choice.
💡 Data methodology: Star counts are sourced directly from the GitHub API via automated weekly sync. Rankings reflect star counts at the time of the last sync (June 9, 2026). Tools are included based on AI/ML relevance and a minimum threshold of 15,000 stars. Want to suggest a tool? Open an issue on GitHub.
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