OpenLoomi is an open-source desktop AI coworker that connects work tools, gathers context, and highlights decisions or actions needing attention. It is for people managing work across multiple apps, and its catalogue add-ons extend the resident desktop for agent frameworks such as Claude Code, Codex, OpenCode, Hermes, and OpenClaw.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add melandlabs/openloomi/plugin install openloomiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/melandlabs/openloomi/setup)<a href="https://agentmods.dev/commands/melandlabs/openloomi/setup"><img src="https://agentmods.dev/badge/commands/melandlabs/openloomi/setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/melandlabs/openloomi/setup"><img src="https://agentmods.dev/badge/commands/melandlabs/openloomi/setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.03412 |
| Opus 5.5 | $0.00009 | $0.01365 |
| Sonnet 5.5 | $0.00005 | $0.00682 |
| Haiku 4.5 | $0.00002 | $0.00341 |
Grade A, and why
setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/openloomi:setup
The bridge is now an end-to-end wizard. A single setup invocation
walks the full state machine:
install OpenLoomi.app
→ launch the desktop app (`open -a <desktopMarker>`)
→ wait for the local HTTP API to come up
→ mint a guest bearer (one-tap sign-in)
→ { ready: true }
Each transition is automatic. Do not ask the user to click anything in
the GUI. The bridge only surfaces a stop condition when the next step
truly requires human action (e.g. no selected execution runtime is ready and
no direct AI provider is configured — if Claude is selected, point the user at
claude auth login; otherwise use OpenLoomi Desktop → API Settings).
Steps
- If the install needs explicit consent (the bridge returns
setup: install_attemptedis the only case where this matters — normally--yesis passed straight through), confirm with the user before re-running. - Run:
node ${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs setup --yes [--max-wait <ms>] - Read the JSON. The bridge writes an audit trail of what it did into
steps[]. Surface that to the user so they can see which transitions fired. - If
setup: ready→ done. - If
setup: awaiting_user_action→ the chain hit a step that genuinely needs the user (e.g.nextAction: login_openloomibutcanGuestLogin: falsebecause the local runtime didn't come up, ornextAction: configure_ai_providerbecause the runtime reports no ready selected execution provider and no per-user provider row). Explain what the user needs to do and stop.
Flags
| Flag | Default | Meaning |
|---|---|---|
--yes |
off | Pre-approve install (otherwise the bridge prompts y/N — but in Claude Code's Bash tool there is no TTY, so without --yes the install would silently cancel). |
--max-wait |
120000 | Global cap across all wait stages (in milliseconds). Defaults to 120s to absorb the first-run install + TCC prompts. |
--api-timeout |
120000 | Per-stage budget for "waiting for local API". Independent of --max-wait. |
--install-timeout |
300000 | Per-stage budget for "installing OpenLoomi". Covers download + copy on a 50 Mbps link. |
--launch-timeout |
10000 | Per-stage budget for open -a <bundle>. Almost never actually hit; included for symmetry. |
--permission-timeout |
60000 | Extra wait after --api-timeout if the desktop process is up but the API never woke up — typical macOS TCC/Accessibility prompt path. |
--bin-path |
auto | Override the discovered helper binary path (advanced). |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 218 lines · 23 tokens per session scan A 7928e1ee9fb6
setup is a command published in the GitHub repository melandlabs/openloomi (1,037 stars, last pushed 24d ago), licensed Apache-2.0. It adds 23 tokens to every session and 3,412 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
AGENTS
Per-command agent-optimized usage and structure guide.
rem_help
Each section is printed verbatim by --help for the command it names. The agreed design is issue #1656; change a page there and here together.
agentlas-local
Staff a task only from Agentlas agents registered on this machine.
commit
A command that examines staged Git changes and proposes a commit message using the Conventional Commits format, such as feat, fix, or docs. Git is a tool for tracking changes to code.
speckit.archive
Archive a feature specification into main project memory after merge, resolving gaps and conflicts.