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openkind

whit3rabbit/openkind

Rust decision engine implementing the TypeSafe Jev protocol with local models.

Agent Decisions0.41Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 14 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

OpenKind is a Rust decision engine with a CLI and server that implement the TypeSafe Jev protocol. It runs locally hosted models and researches custom Qwen 3.5 decision models and shared input processing across questions.

How it uses Jev

Jev takes a state (e.g., a customer message) and typed questions (Choice, Noul, Score) and returns calibrated probabilities. OpenKind's server runs local models to answer these questions; the CLI submits requests and shows each answer with its probability distribution.

Primitives:choicenoulscore

Technique worth stealing

Shared input processing across questions for efficient local decision making.

Try it

openkind pull laya-english:c8ea29bf1e33a343c4b7 && openkind serve --installed-models laya-english:c8ea29bf1e33a343c4b7

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-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

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 projectFound in material0.88
  • Shows a System One patternnot found in the excerpt0.19
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalunclear0.40
  • Is a replica of the modelFound in material0.87
  • Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.88Shows a System One pattern0.19Describes handling uncertainty0.05Reports measured numbers0.06Is a runnable tool0.96Top-10 learning shortlist signal0.40Is a replica of the model0.8700.51Solves a common problem (0–2)1.02 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.95Check-up0.3000.51

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 14 Oct 2026.