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Openagent

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

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


Build Release Docker Pulls Go Report License Discord


Live Demo · Playground · Docs · Discord


English | 中文


#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
Usage Analytics Activity Monitoring
Tool Management Detailed Logs
Tool Management Detailed Logs


#Sponsors

APIMart 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.

#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 build

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

Docker

docker-compose up

Open 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.

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


#🔄 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

#🏗️ 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

#📊 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

#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

#Documentation

Full docs at https://www.openagentai.org


#Community

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

#License

Apache 2.0

Nueva versión disponible.