Eino is an LLM application development framework in Go that provides reusable components, an Agent Development Kit, and composition tools for building AI applications.
The framework addresses the challenge of building complex LLM applications by offering a structured approach grounded in Go conventions. It provides reusable components like ChatModel, Tool, Retriever, and ChatTemplate with official implementations for services such as OpenAI and Ollama. The Agent Development Kit enables developers to build AI agents with tool use, multi-agent coordination, context management, and human-in-the-loop capabilities through interrupt and resume functionality. Developers can connect components into graphs and workflows that run standalone or expose themselves as tools for agents, allowing both deterministic pipelines and autonomous behavior to coexist.
Teams building LLM applications in Go should consider Eino if they want a framework that follows Go idioms rather than adapting patterns from other languages. The tool suits projects ranging from simple chatbot agents to complex multi-agent systems that coordinate specialized sub-agents. The framework includes ChatModelAgent for straightforward agent patterns where a language model handles tool selection internally, and DeepAgent for scenarios requiring task decomposition and delegation across multiple agents. The composition system lets developers build domain-specific workflows with precise control over execution flow, which can then be exposed as tools that agents invoke autonomously.
The project maintains active development with regular issue resolution and ongoing feature additions. The codebase includes comprehensive test coverage and documentation. The framework is supported by an ecosystem of examples demonstrating common patterns and real-world use cases, with official component implementations available in a separate extensions repository.
