Instantly turn AI code into a production-ready backend.
KitchenAI bridges the gap between AI developers, application developers, and Infrastructure developers making it easy to:
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For AI Developers: Focus on your techniques like RAG or embeddings—KitchenAI handles scalable, production-ready features through ecosystem building blocks.
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For App Developers: Seamlessly integrate AI with open-source APIs and robust backends built on Django.
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For Infrastructure Developers: Integrate seamlessly with AI tooling, customize Django backends, and leverage built-in support for observability platforms like Sentry and OpenTelemetry, ensuring scalable and production-ready deployments with tools like Docker and Kubernetes.
Say goodbye to boilerplate!
Building AI applications often requires juggling complex frameworks and backend systems. KitchenAI eliminates that complexity by:
- Turning AI functions into APIs automatically.
- Offering a production-ready server using proven technologies like Django, Django Ninja, an extensible plugin framework, background workers, and AI third party integrations.
- Enabling extensibility while maintaining simplicity.
🔗 Learn more at docs.kitchenai.dev.
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Set Up Environment
export OPENAI_API_KEY=<your key> export KITCHENAI_DEBUG=True python -m venv venv && source venv/bin/activate && pip install kitchenai
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Start a Project
kitchenai cook list && kitchenai cook select llama-index-chat
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Run the Server
kitchenai init && kitchenai dev --module app:kitchen
An entire API server is spun up in seconds.
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Build Docker Container
kitchenai build . app:kitchenai
📖 Full quickstart guide at docs.kitchenai.dev.
- 📦 Quick Cookbook Creation: Build cookbooks in seconds.
- 🚀 Production-Ready AI: Turn AI code into robust endpoints.
- 🔌 Extensible Framework: Add custom recipes and plugins effortlessly.
- 🐳 Docker-First Deployment: Deploy with ease.
- Django Ninja: Async-first API framework for high-performance endpoints.
- Django Q2: Background workers for long-running tasks.
- Plugin Framework: Django DJP integration
- AI Ecosystem: Integrations to AI ecosystem and tools
- S6 Overlay: Optimized container orchestration.
KitchenAI is built for developers, offering flexibility and scalability while letting you focus on AI.
- SDKs for Python, Go, JS, and Rust.
- Enhanced plugin system.
- Signal-based architecture for event-driven apps.
- Built-in support for Postgres and pgvector.
KitchenAI is in alpha—we welcome your contributions and feedback!
Inspired by the Falco Project. Thanks to the Python community for best practices and tools!
KitchenAI collects anonymous usage data to improve the framework—no PII or sensitive data is collected.
Your feedback and support shape KitchenAI. Let's build the future of AI development together!