Build robust and scalable
neuro-symbolic LM applications with ease
The first LM framework to leverage decades-old best practices in Deep Learning frameworks from the most user-friendly framework ever built - Keras.
Here's a Keras-inspired framework for creating applications as DAGs of trainable LLM-based components. You can define sophisticated pipelines and start fine-tuning with RL in a few lines.
— François Chollet (@fchollet) March 3, 2025
Exciting to see the kind of new programming paradigms LLMs enable!pic.twitter.com/4LXKYGR8Oh
Features
Our AI SDK provides a unified API for working with different AI models, making it easier to integrate AI capabilities into your applications.
Build custom pipelines with a decade-old proven abstraction.
Use with Ollama, OpenAI, Mistral, Groq or Anthropic models seamlessly.
Optimized for speed and efficiency with async and streaming support.
Combines constrained structured output with in-context RL to ensure both format and content correctness
Build neuro-symbolic systems, agents or multi-agent systems in minutes.
Compatible with FastAPI so your data scientists and web developers can stop tearing each other apart.
Pricing Plans
Choose the right plan for your neuro-symbolic needs
- Open-Source library
- Community documentation
- GitHub issue support
- Community Discord support
- PhD-level expert consultation
- Problem-solving and guidance
- Implementation advice
- Documentation recommendations
- Pay only for the time you need
- Dedicated development
- Custom algorithm implementation
- Integration with your systems
- Technical documentation
- Testing and optimization
- Fully customized implementation
- Dedicated support team
- 24/7 priority support
- Unlimited projects
- Monthly strategy sessions
- Custom integrations
Need a custom neuro-symbolic solution?
Contact us for enterprise solutions tailored to your specific needs.
Get Started
Start building production-ready LM-powered applications in minutes.
uv pip install synalinks
uv run synalinks initOur documentation includes guides, API references, and examples to help you get started with Synalinks.