FavKit is building open-source tools, libraries, and infrastructure for AI-native applications, intelligent agents, and developer tools.
We believe the next generation of software will not simply use AI — it will be designed around AI from the ground up.
FavKit focuses on the building blocks that make AI-native software practical.
| Area | Description |
|---|---|
| 🤖 Agents | Frameworks and components for building intelligent agents |
| 🛠️ Tools | Reusable tools and toolchains for AI systems |
| 🔌 Protocols | Interfaces connecting models, agents, tools, and applications |
| 📄 Documents | Document parsing, understanding, and structured extraction |
| ⚙️ Infrastructure | Libraries and infrastructure for AI-native applications |
| 🧪 Experiments | New ideas, prototypes, and emerging technologies |
Our projects explore different layers of the AI-native stack.
More projects are coming.
AI-native, not AI-added.
AI should not be an isolated feature attached to traditional software. It should become a native part of how software is built, operated, and used.
Tools over prompts.
Great AI systems need more than great models. They need reliable tools, structured context, predictable interfaces, and robust execution environments.
Composable by default.
Small, focused building blocks should be easy to combine into larger systems.
Open by design.
Useful engineering should become reusable infrastructure instead of remaining hidden inside individual products.
FavKit is an open-source organization.
We welcome:
- ⭐ Stars and feedback
- 💡 Ideas and discussions
- 🐛 Bug reports
- 🔧 Pull requests
- 🧪 Experiments and new projects
If you build something with FavKit, we'd love to hear about it.
Make AI-native software easier to build.
FavKit aims to become a practical open-source foundation for the AI-native era — from low-level tools and protocols to complete agent systems.
Not another collection of demos.
Real building blocks for real software.
Built for the AI-native era.