Openagent MCP Server by the-open-agent

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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 · 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.

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Usage Analytics	Activity Monitoring
Tool Management	Detailed Logs

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Sponsors

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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.

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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

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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