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README.md
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---
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# 🔥 IgnitionAI
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**IgnitionAI** is an open-source organization on a mission to bring intelligent agents and reinforcement learning to the modern web.
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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.
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---
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## ✨ Vision
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To democratize and simplify the development of AI-powered agents and environments using:
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- 💡 Web-native technologies (React Three Fiber, WebGL, WASM)
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- 🧠 In-browser inference (TensorFlow.js, ONNX Runtime Web)
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- 🧱 Modular, developer-friendly APIs
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- ⚡ Integration with modern AI tools (LangChain.js, Vercel AI SDK)
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---
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## 🧩 Key Projects (coming soon)
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| Project | Description |
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|-----------------------------|-----------------------------------------------------------|
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| `ignition-core` | Core abstractions for agents, environments, and RL loops |
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| `ignition-r3f` | React Three Fiber integration for agent environments |
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| `ignition-tfjs` | TF.js inference backend |
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| `ignition-onnx` | ONNX Runtime Web inference backend |
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| `ignition-vercel` | Vercel AI SDK integration |
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| `ignition-langchain` | LangChain.js adapter for planning, tools, and memory |
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| `ignition-demo-cartpole` | Starter demo: CartPole in 3D, browser-ready |
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---
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## 🚀 Target Use Cases
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- Browser-based reinforcement learning environments
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- Educational demos & RL visualizations
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- Web-native AI agents with memory and planning
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- RAG-enabled simulations with LangChain.js
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- Web3, gaming, or simulation projects powered by intelligent agents
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---
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## 👨💻 Tech Stack
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- **TypeScript / React / R3F**
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- **TensorFlow.js**, **ONNX Runtime Web**
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- **LangChain.js**, **Vercel AI SDK**
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- **Zustand**, **Three.js**, **Vite**
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---
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## 🌍 Join the mission
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We’re building the next generation of AI-enabled interfaces for the web.
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Want to contribute, test, or use IgnitionAI in your project? Let’s talk.
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→ [https://ignitionai.fr](https://ignitionai.fr)
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---
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© 2025 IgnitionAI — Built with love in TypeScript 🚀
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