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Best Jev Projects

Search 916 verified repositories across 11 categories and 27 languages.

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ProjectLanguageAddedDescription
  1. TauricResearch/TradingAgents

    Applications
    108,478Python

    Trading research agents with optional Jev screening of social posts for company relevance and sentiment.

  2. BerriAI/litellm

    Frameworks & integrations
    59,363Python

    AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.

  3. can1357/oh-my-pi

    Frameworks & integrations
    32,394TypeScript

    Coding agent with a TypeSafe judgment provider that uses Jev for typed checks, routing, and workflow decisions.

  4. davila7/claude-code-templates

    Agent tooling
    30,897Python

    Claude Code configuration toolkit shipping Jev-based model routing, skill suggestion, and tool guardrail modules.

  5. trycua/cua

    Browser & computer use
    25,790HTML

    Computer-use platform with a Jev recipe where the model selects one bounded action candidate and the client validates it before execution.

  6. different-ai/openwork

    Agent tooling
    23,654TypeScript

    Open-source Claude Cowork alternative whose eval testkit can use Jev as a typed verification judge for agent-produced work.

  7. vercel-labs/json-render

    Frameworks & integrations
    17,982TypeScript

    Generative UI framework with an experimental evaluator that lets Jev choose among application-supplied composition criteria.

  8. NandhaKishorM/laya

    Jev-like models
    17,709Python

    Multilingual, non-autoregressive System 1 decision engine. Typed decisions over 100+ languages in a single forward pass — 33 ms — trained with reinforcement learning against strictly proper scoring rules (RLCD), with a router that picks the right checkpoint per request.

  9. OpenByteInc/QuantDinger

    Applications
    12,029Python

    Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.

  10. browser-use/jev-ultrafast

    Browser & computer use
    9,291Python

    Browser Use's ultrafast agent: Jev picks the operation and DOM element in one request; a small LLM only writes text when typing is needed.

  11. genspark-ai/genoffice

    Applications
    7,541TypeScript

    Jev assigns a calibrated relevance score to each of the top 20 locally recalled files and reranks the search results.

  12. vercel/eve

    Frameworks & integrations
    5,274TypeScript

    Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.

  13. tamaratran/fast-jev-compaction

    Agent tooling
    4,427TypeScript

    Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.

  14. TheoLeeCJ/SemIf-OpenJev

    Jev-like models
    4,121Python

    Open-model semantic-if engine for local Jev-style decisions.

  15. zilliztech/memsearch

    Agent tooling
    2,654Python

    Agent memory search with optional Jev relevance judgments to rerank retrieved passages.

  16. xerj-org/xerj

    Applications
    2,365Rust

    Jev scores whether each retrieved document answers the query and reranks the search results by that relevance.

About the catalog

What is bestjev?

bestjev is an independent, community-maintained directory of open-source projects built around Jev, TypeSafe AI's System One model for typed decisions.

Each listing links to its original repository and records its category, primary language, GitHub star snapshot, and a localized description, helping developers find verifiable Jev SDKs, agents, integrations, applications, research, and tools.

bestjev is not affiliated with or endorsed by TypeSafe AI.

What is Jev?

Jev is TypeSafe AI's System One model for decisions that software needs to consume. Instead of generating free-form prose, it accepts a state and one or more typed questions, then returns structured answers with calibrated probabilities.

It fits workflows where the option space or scoring rubric is known in advance: routing an agent, validating a tool call, ranking candidates, checking a policy, or deciding whether an action should proceed.

Operational advantage

Applications can set deterministic thresholds, inspect uncertainty, and route low-confidence cases to a person or a larger model.

CHOICE

Pick one option

Select from a known set and return probabilities with confidence.

SCORE

Rate on a rubric

Place an input on an ordered scale with a full distribution.

NOUL

Estimate truth

Return the probability that a statement is true, from zero to one.

How is this catalog verified?

Each entry is checked against public evidence: the upstream repository, project-authored documentation, and visible Jev usage. Stars are a dated discovery snapshot, not a quality ranking.

“Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out.”— TypeSafe AI, introducing Jev

Which sources does bestjev use?

Contribute

How to submit a new project

Know a public project that uses Jev? Send us its repository and the evidence needed to verify it. Submissions are reviewed before they appear in the catalog.

Submit a projectOpens a pre-filled GitHub issue.
  1. 01

    Share the repository

    Provide the public GitHub URL and a concise description of what the project does.

  2. 02

    Show how it uses Jev

    Link to code, documentation, a demo, or another public source that makes the Jev integration verifiable.

  3. 03

    We review and publish

    We verify the evidence, choose the right category, and add accepted projects in a future catalog update.

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Guide video: Explore the Showcase

Explore the Showcase

Browse real Jev demos by use case, search the complete collection, and open any card to watch the video with its original source.