Openagent

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

[](https://github.com/the-open-agent/openagent/actions/workflows/build.yml) [](https://github.com/the-open-agent/openagent/releases/latest) [](https://hub.docker.com/r/casbin/openagent) [](https://goreportcard.com/report/github.com/the-open-agent/openagent) [](https://github.com/the-open-agent/openagent/blob/master/LICENSE) [](https://discord.gg/5rPsrAzK7S)

Live Demo · Playground · Docs · Discord

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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.

| Usage Analytics | Activity Monitoring | |:------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:| | | | | Tool Management | Detailed Logs | | | |

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Quick Start

Pre-built binaries for Linux, macOS, and Windows (amd64 / arm64). The installer downloads the latest release and starts OpenAgent on port 14000.

macOS / Linux / WSL

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

Windows (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 and you're in.

> Optional env vars: OPENAGENT_VERSION, INSTALL_DIR, BIN_DIR

Build from source

Prerequisites:

• Backend: Go 1.25.0+
• Frontend: Node.js 20+ and Yarn 1.x

# Backend
go build

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

Docker

docker-compose up

Open http://localhost:14000 once the containers are running.

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Features

🤖 30+ Model Providers

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

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 |

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📚 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 |

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⚡ 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

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Community

• Discord — discord.gg/5rPsrAzK7S · chat with maintainers and other users
• Issues & PRs — welcome! Please open an issue first to discuss larger changes

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License

Apache 2.0

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: the-open-agent
• Source: the-open-agent/openagent
• License: Apache-2.0
• Homepage: https://www.openagentai.org/

Install and usage instructions live in the source repository linked above.