explaingit

the-open-agent/openagent

4,697GoAudience · vibe coderComplexity · 2/5Setup · easy

TLDR

OpenAgent is a self-hosted AI assistant that connects to 30+ AI models, lets you chat with your own documents, browse the web, run commands, and build visual multi-step workflows, all from a single downloadable file.

Mindmap

mindmap
  root((OpenAgent))
    What it does
      Chat with AI
      Browse web
      Run workflows
      Use own documents
    Features
      30 plus AI models
      Knowledge base
      Agent loops
      Visual workflow builder
    Tech Stack
      Go
      MCP
    Audience
      Non technical users
      Power users
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Things people build with this

USE CASE 1

Upload your own documents and ask questions about them using any AI model you choose.

USE CASE 2

Build a multi-step automation that opens a real browser, fills out a form, and saves the result.

USE CASE 3

Design a visual drag-and-drop workflow with conditions and parallel steps to automate a recurring task.

USE CASE 4

Connect external tools via MCP and let the AI agent take actions on your behalf while you watch each step.

Tech stack

GoMCP

Getting it running

Difficulty · easy Time to first run · 5min

Ships as a single downloadable binary for Windows, macOS, and Linux, just run it and open a browser.

In plain English

OpenAgent is an open-source, self-hosted AI assistant that you can run on your own computer or server. It connects to over 30 AI model providers, including OpenAI, Anthropic, Google, and many others, so you can switch between models without changing any settings in your code. The whole application ships as a single file you download and run, with no complicated installation steps. You open a browser, go to a local address, and start chatting. One of its main features is a knowledge base you build yourself. You upload your own documents, like PDFs or Word files, and the system breaks them into searchable chunks. When you ask a question, it pulls the most relevant pieces from your documents before sending anything to the AI, so the responses are based on your actual files rather than just the model's training data. OpenAgent can also take actions on your behalf through what the project calls agent loops. It can open a real browser and navigate websites, click buttons, fill out forms, and take screenshots. It can search the web, run shell commands, read and write Office files, and connect to any compatible external tool through a standard called MCP. Every step the agent takes is shown to you so you can follow along. For more complex tasks, there is a visual workflow builder where you draw out multi-step processes using a drag-and-drop interface. You can add conditions, run steps in parallel, and schedule workflows to run on a timer. The platform also tracks how many tokens each model uses so you can monitor costs. The project supports Windows, macOS, and Linux, including native Windows without needing any extra compatibility layers. It has built-in user authentication via standard protocols and supports multiple users with separate workspaces. A full API with documentation is available so you can access all features programmatically.

Copy-paste prompts

Prompt 1
Using OpenAgent with my uploaded PDFs, find all mentions of payment terms across the documents and give me a summary.
Prompt 2
Set up an OpenAgent workflow that searches the web for competitor pricing every Monday and saves the results to a file.
Prompt 3
Configure OpenAgent to use Claude Sonnet instead of GPT-4 for my document Q&A sessions.
Prompt 4
Create an OpenAgent agent loop that opens a browser, navigates to a specific URL, fills out a form, and takes a screenshot of the result.
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