SynaLinks/synalinks
A graph-based programmable neuro-symbolic framework for building LLM-powered applications including RAGs, tool-using agents, and multi-agent systems.
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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.
Frequently asked
- What is SynaLinks/synalinks?
- A graph-based programmable neuro-symbolic framework for building LLM-powered applications including RAGs, tool-using agents, and multi-agent systems.
- Is synalinks open source?
- Yes — SynaLinks/synalinks is open source, released under the Apache-2.0 license.
- What language is synalinks written in?
- SynaLinks/synalinks is primarily written in Python.
- How popular is synalinks?
- SynaLinks/synalinks has 444 stars on GitHub.
- Where can I find synalinks?
- SynaLinks/synalinks is on GitHub at https://github.com/SynaLinks/synalinks.