deepbot

Enterprise desktop AI assistant with parallel agents, scheduled tasks, skills and Feishu integration.

IndexedMIT★ 2,491

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Setup steps are in the repository. Website · Repository

About

DeepBot is an enterprise-oriented system-level AI assistant that runs as a desktop app and integrates with Feishu, WeChat and WeCom. It runs multiple agents in parallel, supports cron-based scheduled tasks, skill extensions and long-term memory, and includes more than 20 built-in tools for files, commands, browser control, document and image analysis and messaging. It works with Qwen, OpenAI and Claude models, and a strict path whitelist limits system access. A Docker deployment for Linux servers is offered on request.

Use cases: data-analysis, writing, other, workflow-automation, team-chat, document-processing

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Fact sheet

Jobs: data analysis, writing, otherREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Where you use it: Desktop app, otherREADME
Hosting: You run itREADME
Models: qwen, openai, anthropicREADME
Interfaces: agent-skillsREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 2,491
Forks: 166
Open issues: 1
Last commit: May 23, 2026 (5 months ago)
Last release: May 7, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/kevinluosl/deepbot
Website: glint-mvt.com/deepbot/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Cite this page

deepbot. Agent Mart. https://agentmart.dev/agents/deepbot (last updated 2026-10-24)