LoomFlow
Lightweight AI-native workflow builder for individuals and small teams, describe your idea in natural language, get a runnable workflow on a visual canvas, publish it as an API. One-command Docker self-hosting. Open-source alternative to Dify / n8n.
Not yet testedsource: GitHubhomepageTypeScriptMITcommit 2c9dfe0bca4b
TypeScript, MIT licensed. The project labels itself: ai, ai agent, ai agents, llm, low code, nextjs, self hosted and supabase.
LoomFlow has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aiai-agentai-agentsllmlow-codenextjsself-hostedsupabasetypescriptworkflowworkflow-automation
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/loomflow)Questions
- Does LoomFlow run?
- LoomFlow has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test LoomFlow?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for LoomFlow?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.