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

Live Demo · Playground · Docs · Discord

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English | 中文

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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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Sponsors

  Thanks to APIMart for sponsoring this project! APIMart is a low-cost API platform for AI image & video generation — GPT-Image-2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of images without timeouts, switch models without changing code. Pay-as-you-go with no monthly fee — sign up here to get started.

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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

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 · APIMart · 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