LUML – an open source (Apache 2.0) MLOps/LLMOps platform

What it does

AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. - luml-ai/luml

Coding agents now do a growing share of ML engineering work: writing training code, tuning parameters, debugging failed runs. LUML is an MLOps platform built around that workflow. Prisma runs coding agents autonomously against a research objective. Flow records every experiment in a local, interactive tracker. Core moves selected models to production: registry, deployments, and monitoring. The platform is a control plane only: data, models, and inference traffic stay on your infrastructure. How it fits together flowchart LR subgraph P ["Prisma: autonomous research"] A["Objective"] --> B["Agents fork & experiment<br/>in isolated git worktrees"] B --> C["Winner selected<br/>by your metric"]…from github.com

In the maker’s words, at launch

Hi HN, We built LUML (https:&#x2F;&#x2F;github.com&#x2F;luml-ai&#x2F;luml), an open-source (Apache 2.0) MLOps&#x2F;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…

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