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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The ultimate LLM/AI application development framework in Go.
| Date | Stars |
|---|---|
| 2026-07-31 | 12541 |
| 2026-08-01 | 12541 |
| 2026-08-06 | 12603 |
Today
+62 stars today
This week
— stars this week
This month
— stars this month
Momentum
283.0
growth rate 0.00%/day
# Eino
[](https://github.com/cloudwego/eino/releases)
[](https://www.cloudwego.io/)
[](https://github.com/cloudwego/eino/blob/main/LICENSE)
[](https://goreportcard.com/report/github.com/cloudwego/eino)
[](https://github.com/cloudwego/kitex/eino)
[](https://github.com/cloudwego/eino/issues?q=is%3Aissue+is%3Aclosed)
English | [中文](README.zh_CN.md)
# Overview
**Eino['aino]** is an LLM application development framework in Golang. It draws from LangChain, Google ADK, and other open-source frameworks, and is designed to follow Golang conventions.
Eino provides:
- **[Components](https://github.com/cloudwego/eino-ext)**: reusable building blocks like `ChatModel`, `Tool`, `Retriever`, and `ChatTemplate`, with official implementations for OpenAI, Ollama, and more.
- **Agent Development Kit (ADK)**: build AI agents with tool use, multi-agent coordination, context management, interrupt/resume for human-in-the-loop, and ready-to-use agent patterns.
- **Composition**: connect components into graphs and workflows that can run standalone or be exposed as tools for agents.
- **[Examples](https://github.com/cloudwego/eino-examples)**: working code for common patterns and real-world use cases.
# Quick Start
## ChatModelAgent
Configure a ChatModel, optionally add tools, and you have a working agent:
```Go
chatModel, _ := openai.NewChatModel(ctx, &openai.ChatModelConfig{
Model: "gpt-4o",
APIKey: os.Getenv("OPENAI_API_KEY"),
})
agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
Model: chatModel,
})
runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: agent})
iter := runner.Query(ctx, "Hello, who are you?")
for {
event, ok := iter.Next()
if !ok {
break
}
fmt.Println(event.Message.Content)
}
```
Add tools to give the agent capabilities:
```Go
agent, _ := adk.NewChatModelAgent(ctx, &adk.ChatModelAgentConfig{
Model: chatModel,
ToolsConfig: adk.ToolsConfig{
ToolsNodeConfig: compose.ToolsNodeConfig{
Tools: []tool.BaseTool{weatherTool, calculatorTool},
},
},
})
```
The agent handles the ReAct loop internally — it decides when to call tools and when to respond.
→ [ChatModelAgent examples](https://github.com/cloudwego/eino-examples/tree/main/adk/intro) · [docs](https://www.cloudwego.io/docs/eino/core_modules/eino_adk/agent_implementation/chat_model/)
## DeepAgent
For complex tasks, use DeepAgent. It breaks down problems into steps, delegates to sub-agents, and tracks progress:
```Go
deepAgent, _ := deep.New(ctx, &deep.Config{
ChatModel: chatModel,
SubAgents: []adk.Agent{researchAgent, codeAgent},
ToolsConfig: adk.ToolsConfig{
ToolsNodeConfig: compose.ToolsNodeConfig{
Tools: []tool.BaseTool{shellTool, pythonTool, webSearchTool},
},
},
})
runner := adk.NewRunner(ctx, adk.RunnerConfig{Agent: deepAgent})
iter := runner.Query(ctx, "Analyze the sales data in report.csv and generate a summary chart")
```
DeepAgent can be configured to coordinate multiple specialized agents, run shell commands, execute Python code, and search the web.
→ [DeepAgent example](https://github.com/cloudwego/eino-examples/tree/main/adk/multiagent/deep) · [docs](https://www.cloudwego.io/docs/eino/core_modules/eino_adk/agent_implementation/Excerpt of 8,543 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c213f505169ab217, llm:Repository topics and description: 'ai, ai-application, ai-framework, langchain, langchain-for-go, langchaingo, llm-application' and description: 'The ultimate LLM/AI application development framework in Go.'
matched fp:c213f505169ab217, llm:Repository topics and description: 'ai, ai-application, ai-framework, langchain, langchain-for-go, langchaingo, llm-application' and description: 'The ultimate LLM/AI application development framework in Go.'
matched fp:c213f505169ab217, llm:Repository topics and description: 'ai, ai-application, ai-framework, langchain, langchain-for-go, langchaingo, llm-application' and description: 'The ultimate LLM/AI application development framework in Go.'
