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Openbotx

Openbotx is an open-source Python application with a web control panel for creating and managing multiple AI agents. Agents can have separate models, tools and workspaces; users can assign tasks, monitor status on a real-time board, and extend capabilities with skills.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Openbotx — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Openbotx when you want a browser-based place to configure several agents, assign work and monitor task status, with provider credentials and local setup managed as part of the process.

Who it is for

  • People coordinating work across multiple AI agents.
  • Developers or operators configuring provider-backed agents and their tools.
  • Users who want to extend agent capabilities with Markdown-based skills.

Documented uses

  • Create agents with independent models, tools and workspaces.
  • Assign tasks and follow agent status on a live task board.
  • Configure workflows that use built-in capabilities such as browser automation, web search or scheduling.
  • Extend agent capabilities using skills.
Before you choose

Requirements & limits

The documented local setup requires Python 3.11 or later and UV. Openbotx is identified as open source under the MIT license.

  • The application supports multiple named model providers and OpenAI-compatible endpoints, but setup requires a provider API key.
  • The README describes browser access and also lists Telegram as a channel.
  • The project provides both package-based quick-start instructions and a from-source setup path.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and start Openbotx locally

Set up the application and open its local web control panel.

Before you start

  • Python 3.11 or later
  • UV
  • An API key for a supported model provider

Steps

  1. Install Openbotx with UV using the documented package-install command.

  2. Create and enter a project directory, then run openbotx init.

  3. Copy .env.example to .env and add a provider API key.

  4. Run openbotx start and open the local address shown in the quick-start instructions.

Expected outcome

The application starts locally and provides access to its browser control panel.

Guide limitations

  • The setup requires credentials for a model provider.
  • The repository's quick-start instructions show a local address; they do not describe the full agent-task workflow.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
openbotx/openbotx · Official homepage title · retained in its source language
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