SynaLinks/synalinks

From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

What it solves

Synalinks is a neuro-symbolic framework designed to simplify the creation, training, and deployment of complex language model (LM) applications. It removes the boilerplate typically associated with building RAG systems, autonomous agents, and self-evolving reasoning systems by providing a clean, declarative API inspired by Keras.

How it works

The framework treats LM applications as compositions of Modules, similar to how deep learning layers are stacked. It enables "in-context reinforcement learning," allowing developers to optimize prompts and few-shot examples without retraining the underlying model weights. It also includes a container-free, pure-Python sandbox for agents to execute untrusted code safely and supports embedded graph and SQL databases for knowledge base management without requiring external servers.

Who it’s for

  • AI Developers: Those wanting to build production-grade LM apps with minimal boilerplate.
  • AI Researchers: Those prototyping neuro-symbolic and RL-in-context systems.
  • Data Scientists: Those integrating LM workflows with APIs and databases.
  • Students and Hobbyists: Those learning AI composition through an intuitive framework.

Highlights

  • In-Context RL: Optimize prompts and trainable variables using a .compile() / .fit() / .evaluate() API without touching model weights.
  • Container-free Sandbox: Pure-Python isolated runtime for agents to run tools and code without Docker.
  • Embedded Databases: Built-in support for graph-based RAG and SQL knowledge bases with automatic semantic deduplication.
  • Model Agnostic: Easy switching between providers (OpenAI, Anthropic, Gemini, etc.) via LiteLLM.
  • Structured Outputs: Enforces JSON correctness through constrained data models.
  • Observability: Integrated tracing and monitoring via MLflow.

Related

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    SynaLinks/synalinks-skills

    A collection of standardized agent skills that teach AI coding agents how to use the Synalinks framework idiomatically, preventing syntax errors and hallucinations.

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