IRiryna_kondr·May 27, 2026Submission
Show HN: The platform layer for agentic ML engineering
4 points · Open discussionluml-ai
luml
Python2026–2026
luml-ai / luml
luml
AI lifecycle platform where engineers and agents track experiments, train models, and ship to production.
2Distinct people
2Mentions
0Explicit recommenders
276GitHub stars
What to know before exploring
What it is
AI lifecycle platform where engineers and agents track experiments, train models, and ship to production.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week2 dated mentions
Observed mentions: 2026-02-03 14:59:01 UTC to 2026-05-27 13:32:24 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Feb 2 | 2026-02-02 00:00:00 UTC | 2026-02-09 00:00:00 UTC | 1 | 1 | 0 |
| Feb 9 | 2026-02-09 00:00:00 UTC | 2026-02-16 00:00:00 UTC | 0 | 0 | 0 |
| Feb 16 | 2026-02-16 00:00:00 UTC | 2026-02-23 00:00:00 UTC | 0 | 0 | 0 |
| Feb 23 | 2026-02-23 00:00:00 UTC | 2026-03-02 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2 | 2026-03-02 00:00:00 UTC | 2026-03-09 00:00:00 UTC | 0 | 0 | 0 |
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 0 | 0 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 0 | 0 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 0 | 0 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-18 00:00:00 UTC | 0 | 0 | 0 |
| May 18 | 2026-05-18 00:00:00 UTC | 2026-05-25 00:00:00 UTC | 0 | 0 | 0 |
| May 25 | 2026-05-25 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: LUML – an open source (Apache 2.0) MLOps/LLMOps platform
Hi HN,
We built LUML (https://github.com/luml-ai/luml), an open-source (Apache 2.0) MLOps/LLMOps platform that covers experiments, registry, LLM tracing, deployments and so on.
It separates the control plane from your data and compute. Artifacts are self-contained. Each model artifact includes all metadata (including the experiment snapshots, dependencies, etc.), and it stays in your storage (S3-compatible or Azure).
File transfers go directly between your machine and storage, and execution happens on compute nodes you host and connect to LUML.
We’d love you to try the platform and share your feedback!
7 points · Open discussion