Ross ROSS = Recommend OSS · open-source software intelligence for agents

kevinluosl/deepbot

DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration. observed · 2026-08-28

github.com/kevinluosl/deepbot · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 83
  • Release rhythm 51
  • Longevity 15
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 215
  • days_rel: 118
  • days_push: 102
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

2272 stars · 178 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DeepBot is a system-level AI assistant desktop application (Electron/TypeScript) that automates enterprise and personal workflows through multi-agent collaboration, with 20+ built-in tools, scheduled tasks, memory, and skill extensions. It runs locally with strict security controls and integrates with Feishu, WeChat, and WeCom, supporting both local and cloud LLMs.

Use cases

  • automate enterprise workflows with AI agents
  • send personalized emails and greeting cards to employees automatically
  • control my computer and browser to complete tasks like a human assistant
  • schedule recurring AI tasks with cron
  • run a shared AI assistant on an edge box with Docker
  • integrate an AI assistant with Feishu
  • do market research and web data gathering automatically

When to choose

  • you want a local-first desktop AI agent that can execute commands, manage files, and control the browser
  • your team uses Feishu/WeChat/WeCom and needs AI integrated into messaging and documents
  • you need parallel task execution, cron scheduling, and extensible skills in one assistant
  • you want to deploy a shared team AI hub on low-resource edge hardware via Docker

When to avoid

  • you only need a simple chatbot without system access or tool execution
  • you require a cloud-hosted managed service rather than a self-run desktop app
  • you need a lightweight CLI-only agent without a GUI
  • your platform is not macOS, Windows, or Linux/Docker

Facets

application · maturity active

agent-framework chatbot workflow-automation scheduling web-scraping image-processing developer-tools developer-tools large-language-models windows feishu-integration multi-agent local-first skills memory-system enterprise-assistant browser-automation ai-agents automation macos linux docker desktop electron typescript nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
kevinluosl/deepbotmain58

For agents

markdown · JSON · MCP: product_card(name="kevinluosl/deepbot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem