OpenAgent｜可自托管的多模型个人AI助手（RAG+Agent任务循环）

access：来源确认 · curl -fsSL https://raw.githubusercontent.com/the-open-agent/openagent/master/scripts/install.sh | bash

project_type：来源确认 · OpenAgent is an open-source personal AI assistant that brings together powerful LLMs, your own knowledge base, and autonomous agent loops

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<img src="https://cdn.openagentai.org/img/openagent-logo_1900x450.png" alt="OpenAgent" width="480">

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**Next-generation personal AI assistant powered by LLM, RAG and agent loops — ships as a single binary, no installation needed**

*Supporting computer-use, browser-use and coding agent*

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[**Live Demo**](https://demo.openagentai.org) · [**Playground**](https://try.openagentai.org) · [**Docs**](https://www.openagentai.org) · [**Discord**](https://discord.gg/5rPsrAzK7S)

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English | [中文](./README_zh.md)

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## What is OpenAgent?

OpenAgent is an open-source personal AI assistant that brings together powerful LLMs, your own knowledge base, and autonomous agent loops — all in one self-hostable platform. Connect any model provider, build a RAG knowledge base from your documents, and let agents browse the web, run code, and call any MCP-compatible tool on your behalf.

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|                                               Usage Analytics                                                |                                                 Activity Monitoring                                                  |
|:------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:|
| ![Usage Analytics](https://raw.githubusercontent.com/the-open-agent/static/master/img/screenshot-usages.png) | ![Activity Monitoring](https://raw.githubusercontent.com/the-open-agent/static/master/img/screenshot-activities.png) |
|                                             **Tool Management**                                              |                                                  **Detailed Logs**                                                   |
| ![Tool Management](https://raw.githubusercontent.com/the-open-agent/static/master/img/screenshot-tools.png)  |       ![Detailed Logs](https://raw.githubusercontent.com/the-open-agent/static/master/img/screenshot-logs.png)       |

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## Sponsors

> [Want to appear here?](mailto:admin@casibase.org)

---

## Quick Start

Pre-built binaries for **Linux**, **macOS**, and **Windows** (`x86_64` / `arm64`). The installer downloads the latest release and starts OpenAgent on **port 14000**.

**macOS / Linux / WSL**
```bash
curl -fsSL https://raw.githubusercontent.com/the-open-agent/openagent/master/scripts/install.sh | bash
```

**Windows (PowerShell)**
```powershell
irm https://raw.githubusercontent.com/the-open-agent/openagent/master/scripts/install.ps1 | iex
```

> **Windows runs natively** — no WSL, no Docker required.

Open [http://localhost:14000](http://localhost:14000) and you're in.

> Optional env vars: `OPENAGENT_VERSION`, `INSTALL_DIR`, `BIN_DIR`

**Build from source**

Prerequisites:
- **Backend**: [Go](https://golang.org/dl/) 1.25.0+
- **Frontend**: [Node.js](https://nodejs.org/) 20+ and [Yarn](https://classic.yarnpkg.com/) 1.x

```bash
# Backend
go build

# Frontend
cd web && yarn install && yarn start
```

**Docker**
```bash
docker-compose up
```

Open [http://localhost:14000](http://localhost:14000) once the containers are running.

---

## Features

### 🤖 30+ Model Providers

Connect every major LLM provider and switch between them per conversation — no code changes required.

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`OpenAI` · `Azure OpenAI` · `Anthropic Claude` · `Google Gemini` · `DeepSeek` · `Mistral` · `Grok` · `Qwen` · `Doubao` · `Moonshot` · `ChatGLM` · `Baichuan` · `Ernie` · `iFlytek` · `HuggingFace` · `Cohere` · `Amazon Bedrock` · `OpenRouter` · `Ollama` · `and more`

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### 🔄 Autonomous Agent Loops

| Capability                 | Description                                                                                        |
|:---------------------------|:---------------------------------------------------------------------------------------------------|
| **Browser-Use**            | Drive a real browser — navigate, click, fill forms, scrape, and screenshot pages                   |
| **Web Search & Fetch**     | Search the web and pull live page content into the agent's context                                 |
| **Shell Execution**        | Run shell commands and scripts directly from the agent loop                                        |
| **Office Automation**      | Read and write Word, Excel, and PowerPoint files                                                   |
| **MCP Integration**        | Plug in any MCP-compatible server (SSE / Stdio / StreamableHTTP) and expose its tools to the agent |
| **Transparent Tool Calls** | See every tool invocation, its arguments, and its return value — step by step                      |

---

### 📚 RAG & Knowledge Base

| Capability               | Description                                                                                   |
|:-------------------------|:----------------------------------------------------------------------------------------------|
| **Document Ingestion**   | Upload PDFs, Word docs, Excel sheets, and more — chunked, embedded, and indexed automatically |
| **Semantic Search**      | Retrieves the most relevant passages from your knowledge base before each LLM response        |
| **Pluggable Embeddings** | OpenAI, Azure, Gemini, Qwen, Cohere, Jina, HuggingFace, local models, and more                |
| **Isolated Stores**      | Organise knowledge into separate stores; assign them per chat or per application              |

---

### ⚡ Workflow Automation

| Capability                           | Description                                                         |
|:-------------------------------------|:--------------------------------------------------------------------|
| **Visual Workflow Builder**          | Compose multi-step pipelines with a BPMN-style drag-and-drop editor |
| **Conditional & Parallel Execution** | Branch on gateway conditions; run independent tasks concurrently    |
| **Task Scheduling**                  | Trigger workflows or agent jobs on a recurring schedule             |
| **Usage Analytics**                  | Track token consumption and cost per provider, model, and user      |

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### 🏗️ Platform Features

| Capability                  | Description                                                                                                       |
|:----------------------------|:------------------------------------------------------------------------------------------------------------------|
| **Single Binary**           | One executable file — no installer, no runtime dependencies. Download and run instantly on any supported platform |
| **Native Windows Support**  | Runs directly on Windows — no WSL, no Docker, no Linux subsystem required                                         |
| **Single Sign-On**          | OIDC / OAuth2 / LDAP / SAML via the built-in auth layer                                                           |
| **Multi-tenancy**           | Isolated workspaces per user or organisation                                                                      |
| **REST API + Swagger UI**   | Every feature is accessible programmatically                                                                      |
| **Audit Logs**              | Full activity history for every action                                                                            |
| **File & Media Management** | Built-in storage for files, images, and video content                                                             |

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### 📊 Admin Dashboard

| Panel                   | What you get                                                                                |
|:------------------------|:--------------------------------------------------------------------------------------------|
| **Usage Statistics**    | Token & cost metrics per app, user, and model — with interactive charts and heatmaps        |
| **Activity Monitoring** | Real-time system operations with success/error rates, operation-type breakdowns, and trends |
| **Tool Management**     | Centralised CRUD for all agent tools: browser, shell, office, web search, and more          |
| **Request Logs**        | Full request/response payloads with JSON formatting, filtering, and debugging               |

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## Online Demo

| Environment      | URL                          | Notes                                             |
|:-----------------|:-----------------------------|:--------------------------------------------------|
| **Live Preview** | https://demo.openagentai.org | Read-only tour — no account needed                |
| **Playground**   | https://try.openagentai.org  | Make changes freely — data resets every 5 minutes |

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## Documentation

Full docs at **[https://www.openagentai.org](https://www.openagentai.org)**

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## Community

- **Discord** — [discord.gg/5rPsrAzK7S](https://discord.gg/5rPsrAzK7S) · chat with maintainers and other users
- **Issues & PRs** — welcome! Please open an issue first to discuss larger changes

---

## License

[Apache 2.0](https://github.com/the-open-agent/openagent/blob/master/LICENSE)

运行预编译包只需下载并执行安装脚本（README 声明支持 Linux/macOS/Windows x86_64 与 arm64）；源码构建需 Go 1.25.0+，前端需 Node.js 20+ 与 Yarn 1.x，或使用 Docker Compose。使用模型与嵌入能力需自备相应提供方的 API Key 或本地模型服务，具体配置步骤待核验。模型调用与嵌入服务可能产生费用，商业模块或托管服务是否收费待核验。README 提及演示与文档站点为境外域名，国内访问情况待核验。