IgnitionAI is an open-source organization on a mission to bring intelligent agents and reinforcement learning to the modern web.
We build modular, TypeScript-based tools and frameworks for creating AI-driven simulations, visualizations, and real-time interactions — directly in the browser or at the edge.
To democratize and simplify the development of AI-powered agents and environments using:
- 💡 Web-native technologies (React Three Fiber, WebGL, WASM)
- 🧠 In-browser inference (TensorFlow.js, ONNX Runtime Web)
- 🧱 Modular, developer-friendly APIs
- ⚡ Integration with modern AI tools (LangChain.js, Vercel AI SDK)
| Project | Description |
|---|---|
ignition-core |
Core abstractions for agents, environments, and RL loops |
ignition-r3f |
React Three Fiber integration for agent environments |
ignition-tfjs |
TF.js inference backend |
ignition-onnx |
ONNX Runtime Web inference backend |
ignition-vercel |
Vercel AI SDK integration |
ignition-langchain |
LangChain.js adapter for planning, tools, and memory |
ignition-demo-cartpole |
Starter demo: CartPole in 3D, browser-ready |
- Browser-based reinforcement learning environments
- Educational demos & RL visualizations
- Web-native AI agents with memory and planning
- RAG-enabled simulations with LangChain.js
- Web3, gaming, or simulation projects powered by intelligent agents
- TypeScript / React / R3F
- TensorFlow.js, ONNX Runtime Web
- LangChain.js, Vercel AI SDK
- Zustand, Three.js, Vite
We’re building the next generation of AI-enabled interfaces for the web.
Want to contribute, test, or use IgnitionAI in your project? Let’s talk.
© 2025 IgnitionAI — Built with love in TypeScript 🚀