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

melandlabs/openloomi

OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do next. It’s your open-source Attention Agent. observed · 2026-09-01

github.com/melandlabs/openloomi · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-09-01

Health v2 · maintenance only

82/100

  • Activity 100
  • Release rhythm 100
  • Longevity 10

Flags: young

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: 0.0
  • age_days: 145
  • days_rel: 2
  • days_push: 2
  • n_releases_24m: 27

Full methodology

Adoption not part of the score

1020 stars · 46 forks observed · 2026-09-01

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

OpenLoomi is an open-source desktop AI coworker ('Attention Agent') that connects your work tools (Slack, Gmail, Telegram, WhatsApp, etc.), builds a context graph of your people, projects, and decisions, and surfaces decision cards for what needs your attention. It runs locally with memory, skills, and a Loop engine, and can also plug into agent runtimes like Claude Code and Codex.

Use cases

  • stop missing overdue replies and deadlines across messaging apps
  • search my work history across Slack, Gmail, and Notion from one place
  • get a morning to-do brief and end-of-day recap automatically
  • draft context-aware replies to emails and messages with AI
  • connect Claude Code or Codex to my work context
  • triage sales and customer messages into one unified inbox
  • build a personal memory of decisions and follow-ups across tools

When to choose

  • you want a self-hosted, open-source AI assistant with cross-tool context and memory
  • you juggle many messaging/email platforms and want proactive nudges instead of checking each app
  • you already use Claude Code or Codex and want to give them persistent work context
  • privacy matters - data is processed locally or encrypted, not stored on servers

When to avoid

  • you need a mature 1.0 product - it is pre-1.0 with possible breaking changes between minor versions
  • you only need a simple chatbot without tool connectors or memory
  • your required platform connector is still listed as 'Soon' or disabled
  • you want a fully cloud-hosted managed service rather than a local desktop app

Facets

application · maturity active

agent-framework mcp rag chatbot workflow-automation scheduling search-engine plugin-system developer-tools large-language-models self-hosted windows self-hosted attention-agent ai-coworker context-graph personal-memory connectors decision-cards claude-code-plugin codex-plugin unified-inbox ai-agents automation macos linux desktop typescript

5 sources

Member repositories

RepositoryRoleHealth v2
melandlabs/openloomimain82

For agents

markdown · JSON · MCP: product_card(name="melandlabs/openloomi")

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