OpenAgent

Next-generation personal AI assistant powered by LLM, RAG and agent loops
Supporting computer-use, browser-use and coding agent

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✨ Overview

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

📝 Note: Screenshots above showcase the built-in admin dashboard.

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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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📦 Quick Start

Pre-built binaries are available for Linux, macOS, and Windows (amd64 / arm64). The install script downloads the latest release, installs it, and starts the server on port 14000.

🔧 Install Binary (Recommended)

macOS / Linux / WSL

curl -fsSL --proto '=https' --tlsv1.2 \
  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

Then open http://localhost:14000.

💡 Optional environment variables: OPENAGENT_VERSION, INSTALL_DIR, BIN_DIR.

🛠️ Build from Source

# Backend
go build

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

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🌟 Highlights

🔄 Agent Loops

Feature	Description
🌐 Browser-Use	Drive a real browser: navigate, click, fill forms, scrape, and screenshot pages
🔎 Web Search & Fetch	Search the web and pull page content directly into the agent's context
💻 Shell Execution	Run shell commands and scripts from within the agent loop
📄 Office Automation	Read and write Word, Excel, and PowerPoint files
🔌 MCP (Model Context Protocol)	Connect any MCP-compatible server over SSE, Stdio, or StreamableHTTP and expose its tools to the agent
👁️ Transparent Tool Calls	See exactly which tool was invoked, with what arguments, and what it returned, step by step

📚 RAG & Knowledge Base

Feature	Description
📤 Document Ingestion	Upload PDFs, Word docs, Excel sheets, and more; they are chunked, embedded, and indexed automatically
🔍 Semantic Search	Every chat retrieves the most relevant passages from your knowledge base before the LLM responds
🔗 Pluggable Embedding Providers	OpenAI, Azure, Gemini, Qwen, Cohere, Jina, HuggingFace, local models, and more
🗂️ Per-Store Isolation	Organise knowledge into separate stores and assign them to individual chats or applications

🤖 30+ Model Providers

Works out of the box with all major LLM providers — configure as many as you like and switch between them per chat:

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

⚡ Workflow Automation

Feature	Description
🎨 Visual Workflow Builder	Compose multi-step pipelines with a BPMN-style editor
🔀 Conditional & Parallel Execution	Branch on gateway conditions and run tasks concurrently
⏰ Task Scheduling	Run workflows or agent jobs on a recurring schedule
📊 Usage Analytics	Track token consumption and cost per provider, model, and user

🏗️ Platform Features

Feature	Description
🔐 Single Sign-On	OIDC / OAuth2 / LDAP / SAML via the integrated auth layer
🏢 Multi-tenant	Separate workspaces per user or organisation
🌐 REST API + Swagger UI	Every feature is accessible programmatically
📋 Audit Logs	Full activity history for every action
🗄️ File & Video Management	Built-in storage for files, images, and video content

📈 Admin Dashboard

Feature	Description
📊 Usage Statistics	Comprehensive metrics covering applications, users, chats, messages, tokens, and estimated cost with interactive charts and heatmaps
📋 Activity Monitoring	Real-time visualization of system operations with success/error tracking, operation-type pie charts, and trend analysis
🛠️ Tool Management	Centralised management of all agent tools — browser-use, GUI automation, office, shell, web search, and more — with full CRUD control
🔍 Detailed Request Logs	Inspect complete request/response payloads with JSON formatting, filtering, and debugging capabilities for every API call

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📖 Documentation

👉 https://www.openagentai.org/

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🤝 Community

Platform	Link
💬 Discord	https://discord.gg/5rPsrAzK7S
🐛 Issues & PRs	Welcome — please open an issue first to discuss larger changes

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📄 License

Apache-2.0