AI Native Landscape now has its own home. 600+ curated open-source projects, a brand-new standalone site, and direct search from your AI coding tools.
How It Started
Last July, I started collecting and organizing AI open-source projects on my personal website. The AI space was moving incredibly fast, with new projects popping up every day. GitHub is a treasure trove, full of tools and frameworks worth studying and using. I wanted to organize them systematically so others (and myself) could find the truly useful ones.
At first, everything lived on jimmysong.io. But as the catalog grew, maintaining it became a pain. The main site already had plenty of content, and AI-related pages mixed in meant that updating a single project required rebuilding the entire site. So this year I decided to spin it out as a standalone open-source project: ai-native-landscape.
All pages previously at jimmysong.io/en/ai/* now redirect to the new site at landscape.jimmysong.io. Existing links and bookmarks still work.
Not Just a List, But a Scored One
There are plenty of AI project directories out there, but most just list a name and a link and call it a day. That’s not enough.
GitHub has thousands upon thousands of projects. You see a name, click through, and find out the last commit was six months ago and nobody’s responding to Issues. You just spent time researching something that’s essentially abandoned.
That’s why AI Native Landscape does something different: every project gets a score.
The scoring is based on four dimensions:
- Activity: commit frequency, release cadence, Issue response time
- Community: contributor count, PR merge speed, discussion engagement
- Quality: Stars, Forks, dependency relationships
- Sustainability: maintenance history, team stability
These four dimensions combine into an overall health score. At a glance, you can tell whether a project is worth your time.
And the scores update daily, automatically. Today’s score might differ from tomorrow’s.
The project list itself is also human-curated. Projects that have gone inactive don’t make the cut. I want every project on this list to be “alive,” so the time you spend studying them won’t be wasted.
What’s Covered
The catalog spans eight major areas of AI:
| Category | Description |
|---|---|
| Agent Systems | Frameworks, orchestration, and workflows |
| Knowledge & Context | RAG, vector databases, document processing, knowledge graphs |
| Models & Modalities | Foundation models, toolkits, speech and vision generation |
| Inference & Runtime | Model serving, inference engines, sandboxes, GPU acceleration |
| Training, Evaluation & Optimization | Frameworks, fine-tuning, benchmarks, observability |
| Developer Tooling | MCP protocols, coding agents, IDE tools, SDKs |
| Applications & Experience | Chat interfaces, workflow automation, low-code platforms |
| Platform & Infrastructure | Cloud-native AI, data platforms, security and operations |
Currently 600+ open-source projects, each with bilingual descriptions in English and Chinese.
AI Skill Search
The landscape supports direct search from AI coding tools. No browser needed. Install with one command:
npx landscape-searchWorks with Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Cline, Aider, and other popular AI coding tools. After installation, just search in natural language:
“Find me an MCP-compatible agent framework”
No API key required. No local data files. Your AI tool fetches the live project catalog and returns ranked results.
Tech Stack
Built with Astro, deployed on Cloudflare Pages, with TypeScript for type safety. Project data lives in bilingual Markdown files. The build pipeline validates, indexes, and generates OG images in one pass.
Get Involved
GitHub is everyone’s treasure trove, and I hope this project can grow with the community’s help.
Star the repo: github.com/rootsongjc/ai-native-landscape
Submit a project: If you know an AI open-source project worth listing:
- Open an Issue on GitHub
- Or submit a PR directly, add bilingual Markdown files under
data/projects/
See the contributing guide for details.
Links:
- Live site: landscape.jimmysong.io
- GitHub repo: rootsongjc/ai-native-landscape
- Skill install:
npx landscape-search
