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OmniStudio

kunpengtalk/OmniStudio · Homepage

Local-first desktop workbench for models, inference, and AI apps.

Other0.70Runner-up: Infra / SDKs / Integrations
Automated README summary

Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

OmniStudio is a local-first desktop workbench for downloading models, running llama.cpp/vLLM/SGLang inference, and using built-in chat, speech, image, video, music, OCR, and translation apps.

How it uses Jev

Jev answers constrained questions rather than generating text: noul (yes/no), choice (pick one option), and score (rate on an ordered scale), returning probability distributions and confidence. Users configure a local laya-mlx or cloud TypeSafe-compatible engine, enter state and questions, and view probabilities; it is also exposed via the jev_evaluate Agent tool and POST /v1/systemone.

Primitives:choicescorenoul

Technique worth stealing

Constrained typed judgments (noul/choice/score) return calibrated probabilities, making classification, tagging, and scoring comparable, thresholdable, and batchable.

Try it

Run bun install, then cd apps/studio && bun run dev:hmr; open the JEV page to configure an engine.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.02
  • Shows a System One patternnot found in the excerpt0.08
  • Describes handling uncertaintynot found in the excerpt0.02
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.04
  • Is a replica of the modelnot found in the excerpt0.11
  • Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.02Shows a System One pattern0.08Describes handling uncertainty0.02Reports measured numbers0.02Is a runnable tool0.96Top-10 learning shortlist signal0.04Is a replica of the model0.1100.51Solves a common problem (0–2)1.07 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.47Ghostwriter0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 3 Nov 2026.