Synthorcha

Synthorcha is a lightweight, C++-native framework for building and running agentic systems close to the metal. It is designed for developers who want full control over orchestration, tooling, and model execution without relying on heavyweight runtimes or leaving the C++ ecosystem.

Built on top of high-performance local inference engines such as llama.cpp, Synthorcha enables efficient on-device model execution while exposing a flexible architecture for constructing both scripted and autonomous agent workflows. The framework emphasizes minimal abstraction, predictable performance, and tight integration with existing native systems.

Synthorcha is structured around an agent-first design, where execution flows are composed of modular components that can interact with tools, external systems, and models in a controlled and extensible manner. This makes it suitable for applications ranging from embedded AI systems to game engines and custom backend services.