SynaLinks is a production-first neuro-symbolic Language Model framework that provides abstractions for building RAGs, tool-using agents, multi-agent systems, and recursive agents with minimal code. It leverages Keras and deep learning best practices to enable context-engineering, in-context-learning, and in-context-reinforcement-learning workflows. The framework appears designed for developers building LLM applications and agentic systems with a focus on test-time adaptation and training capabilities.