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ℹ️ About Us

Helping Developers Find the
Best AI Tools

AI Nav is a free, community-driven directory of 300+ open-source AI tools, agent frameworks, and skill libraries—all ranked by GitHub stars and updated weekly.

Our Mission

The AI ecosystem is evolving at breakneck speed. New frameworks, tools, and libraries emerge every week, making it hard for developers to keep up. AI Nav exists to solve this problem: we curate, categorize, and rank the best open-source AI tools so you don't have to spend hours on GitHub searching for what actually works.

We focus exclusively on open-source projects with proven community adoption—tools with real GitHub stars, active maintenance, and production usage. No sponsored rankings. No paid placements. Just honest curation.

What We Cover

🤖 AI Tools
100 Tools
Image generation, local LLMs, voice, coding assistants, and more
⚙️ Skill Frameworks
100 Frameworks
Vector databases, inference engines, fine-tuning, RAG pipelines
🚀 AI Agents
100 Agents
Multi-agent orchestration, browser automation, code agents

How We Curate Tools

Every tool in our directory meets the following criteria:

Data Freshness

GitHub star counts are automatically refreshed every week via GitHub Actions. The "Updated X days ago" badge on every tool card reflects the last time star counts were synced. Our data pipeline runs every Monday at 03:00 UTC.

💡 Want to see a tool added? Open an issue on our GitHub repository with the tool's name and GitHub URL. We review submissions weekly.

Bilingual Support

AI Nav is available in both English and Chinese (Simplified). Use the EN / 中 toggle in the header to switch languages. Tool descriptions, category names, and UI labels are fully localized. We believe great tools should be discoverable by the global developer community.

About the Project

AI Nav is an open-source project maintained on GitHub. The entire site is built with vanilla HTML, CSS, and JavaScript—no frameworks, no build steps, no servers. Data is stored in a single data.json file and automatically updated via GitHub Actions.

The project is MIT licensed. Contributions, bug reports, and feature requests are welcome via GitHub Issues and Pull Requests.

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