Enterprise DNA
O Open Source Orchestration medium

Eino

by Community

The ultimate LLM/AI application development framework in Go.

E

OSS

Eino

Added 1 June 2026

#ai #ai-application #ai-framework #langchain #langchain-for-go #langchaingo #llm-application

Overview

Eino is an open-source framework for building LLM and AI applications in Go. It provides orchestration primitives for chaining and composing language model calls. The project is hosted on GitHub under the cloudwego organization.

Best for

Best for
Go developers who want to add LLM orchestration to their backend applications

Use cases

  • Build multi-step LLM workflows and chains in Go
  • Orchestrate calls to language models with structured outputs
  • Develop AI features for Go-based backend services

Notes

Eino is an open-source framework for building LLM and AI applications in Go. It provides orchestration primitives for chaining and composing language model calls. The project is hosted on GitHub under the cloudwego organization.

11,579 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Build multi-step LLM workflows and chains in Go
  • Orchestrate calls to language models with structured outputs
  • Develop AI features for Go-based backend services

Pros

  • Native Go performance and type safety
  • Well-documented with growing community (11.5k stars)
  • Simple orchestration abstractions without heavy dependencies

Cons

  • Smaller ecosystem of integrations compared to Python frameworks
  • Limited pre-built tooling for advanced AI tasks like RAG or agents
  • Primarily targets Go developers, may not suit teams using other languages

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Native Go performance and type safety
  • Well-documented with growing community (11.5k stars)
  • Simple orchestration abstractions without heavy dependencies

Cons

  • Smaller ecosystem of integrations compared to Python frameworks
  • Limited pre-built tooling for advanced AI tasks like RAG or agents
  • Primarily targets Go developers, may not suit teams using other languages