Jev AgentA source-verified directory of 487 Jev projects — browser agents, model routers, SDKs and MCP servers — each one showing the exact decision it hands to Jev. Curated by the Awesome Jev community, mirrored here under MIT.
Give Jev the current state and a few options. Get the Agent’s next step.
Core call · setup in the full example
const nextStep = choice("What next?", { login: null, askUser: null, retry: null });
const { answers } = await client.systemOne({ state: "Login form is ready", questions: { nextStep } });
console.log(answers.nextStep.choice);Node.js 20+ · Set TYPESAFE_API_KEY on your server. This page shows code and makes no model requests.
An optional TypeSafe provider for Composio that uses Jev to choose among tools and bounded argument options.
Turns tool or action conditions into structured questions and passes Jev answers to local invocation logic.
Adds structured judgments to existing tool interfaces.
The TypeSafe provider in AI SDK lets TypeScript applications call Jev through the shared evaluate interface.
Maps choice, score, and yes/no questions to TypeSafe System One requests and parses typed results.
Reuses a common evaluation interface within AI SDK applications.
An optional TypeSafe HTTP adapter in Eliza’s source, not registered with the Agent runtime by default.
Only an explicit systemOne call sends state and questions, returning validated typed answers.
Provides a reusable server-side module; its presence is not evidence of deployed Jev adoption.
An optional LangChain.js TypeSafeClassifier integration for sending state and predefined questions to Jev.
Uses invoke to call TypeSafe and parse choice, noul, score and probability fields.
Adds typed decisions to LangChain workflows without treating Jev as a chat generator.
An experimental TypeSafe crate in Rig for expressing Jev questions and answers with Rust types.
Sends application state and questions to Jev and parses Choice, Score or Noul answers.
Reuses field layouts between questions and answers and validates answers against questions.
A TypeSafe provider for calling Jev through ReqLLM’s evaluate interface in Elixir.
Sends state and questions, normalizes answers and retains the raw provider response.
Keeps decision evaluation separate from chat generation in Elixir applications.
Adapter turning open LLM endpoints into Jev-compatible classification services without training a separate classifier head.
Extracts log-probabilities of candidate tokens from model vocabulary logits, formatting them into standard Jev responses.
Enables rapid prototyping of Jev-like decision workflows against standard inference servers such as vLLM or Hugging Face.
This project is a collection of Jev use cases, workflows, and agent skills with a stdlib-only Python decision wrapper.
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
A TypeSafe Decision driver within Instructor PHP’s Polyglot module.
Converts application state and typed questions into Jev requests and maps responses to PHP decision objects.
Lets PHP applications use Jev through a shared Decision interface.
An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model.
Accepts Jev-style state and Noul, Choice, and Score questions, producing probabilities with a local model.
Lets existing TypeSafe SDKs connect to a self-hosted compatible service.
A dedicated TypeSafe module in a Scala client that supports multiple AI providers.
Sends shared state and typed questions to Jev and parses structured answers.
Lets Scala applications reuse provider transport and error-handling conventions.
Pi’s programmable runtime includes an optional Jev loop for observing state, making decisions and running bounded actions.
Programmed questions feed Jev judgments into local action logic under runtime budgets.
Keeps observation, judgment and execution steps in a reusable program.
The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers.
systemOne submits state and named questions and infers answer types from the questions.
Includes ESM, CommonJS and TypeScript declarations for application integration.
Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types.
system_one sends context and choice, score or yes/no questions to the API, then parses answers by question name.
Reuses request handling, typed answers and connection management in Python, with support for with and async with.
A TypeSafe plugin exposing Jev decisions as callable actions in Runline Agent JavaScript.
evaluate, choice, score and noul actions submit questions and retain answers and usage.
Composes decisions with Runline plugins; it does not automatically inspect every shell command for safety.
A Jev forwarding endpoint in the Hack Club AI proxy, using its authentication, limits and usage logging.
Forwards authorized structured requests to TypeSafe and returns answers with usage accounting.
Adds a decision API to the existing proxy rather than an MCP tool server.
An Effect Agent TypeSafe decision provider for typed question sets and optional model selection.
Jev answers probability, choice and score questions for application transitions or model selection.
Integrates decisions into Effect dependencies and errors; applications configure retries and deadlines.
A small TypeScript client for asking Jev multiple typed questions about the same data.
Combines yes/no, Choice and Score questions and maps responses to typed values.
Reuses one interface for probabilities, choices and scores.
Provides Jev structured decision support for Agent Harness to recommend tools, Skills and Agents and return judgments with probabilities, with a native DeepSeek Harness plugin and an iPolloWork entry serving OpenCode, DeepSeek Harness and Codex Harness.
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
A Ruby decision-model client for Jev through TypeSafe’s native API or OpenRouter.
A shared Client sends state and typed questions and parses choices, probabilities, scores and usage.
Uses only the Ruby standard library and supports provider selection behind one interface.
A skill for Hermes and other agents to query TypeSafe Jev for bounded option judgments and confidence escalations.
Evaluates candidate intents for agent workflows; escalates uncertain choices to human review or higher-tier models.
Equips autonomous agents with deterministic narrow judgments, mitigating infinite-loop hallucinations.
Integrates Jev as an asynchronous Elixir/OTP process whose replies are handled with GenServer pattern matching.
Sends state and typed questions to TypeSafe, then delivers answers as messages.
Fits decision calls into existing message-handling and supervision patterns.
Decisions, not tokens: minojev reads calibrated, typed probability distributions straight from hidden states in one forward pass — zero output tokens, fully reproducible on a laptop CPU.
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
A community-maintained directory and radar for Jev, highlighting open-source projects with verified code and clear decision architectures.
Jev is TypeSafe's decision model. This directory groups projects by how they use choices, scores and probability judgements, with implementation links to help you assess fit for your own task.
TypeSafe ↗We prioritize open-source projects with clear Jev implementation evidence. Repositories without verifiable source code are excluded from the main directory.
Directory data and design from Awesome Jev by logicrw, used under the MIT License.
