claude-code-templates
A community Claude Code Templates mod that uses Jev to suggest subagent models and reasoning levels.
Browse the latest Jev projects, integrations and experiments across the open source Jev ecosystem — plus the tools, agents and experiments taking AI into the real world. Organized by model. Linked to source. Built for discovery.
A community Claude Code Templates mod that uses Jev to suggest subagent models and reasoning levels.
Open-source Claude Cowork alternative whose eval testkit can use Jev as a typed verification judge for agent-produced work.
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.
Reviews a Git diff or a codebase in stages and displays review leads in a local dashboard.
Open alternative: non-autoregressive decision model that answers `choice`, `score`, and `noul` questions with RLCD-trained calibrated probabilities in a single ~35 ms forward pass, published on PyPI and Hugging Face.
Agentic search: a standalone evaluation uses Jev Noul judgments on accumulated evidence to decide whether to stop or continue within a search-round budget, comparing stopping behavior, evidence recall, and decision cost.
Local runtime: independent MLX port of the Laya checkpoints that runs typed decisions natively on Apple Silicon — 13.4 ms median end-to-end per short English decision, 7.4 ms with the multilingual checkpoint, and zero output tokens, with no PyTorch, Transformers runtime, or cloud API.
Coding agent: ships a `typesafe_permission_reviewer` builtin so the agent's permission decisions run through Jev rather than an LLM call.
Open 0.6B Jev replica with parallel decisions, complete probability distributions, training pipeline, weights, dataset, and live demos.
Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos.
One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
Cua’s preview jev-use example pairs Driver observation and execution with bounded Jev browser-action choices.
A browser Agent that uses Jev to choose actions and page controls, calling a text model only when input is needed.
An optional Jev skill for agent-desktop that chooses controls and actions from native accessibility data.
Agent-computer platform with a runnable pull-request review lab where Jev judges whether findings are introduced, supported, and actionable.
Android conversation copilot where Jev interprets chat context and helps rank candidate replies before the user inserts one.
A market-making experiment on Kuru’s MON-USDC book on Monad, with optional per-block Jev buy/sell decisions.
A tax-document page classifier that uses Jev to choose from predefined IRS form and page categories.
Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
An experimental NES Mario controller that gives Jev structured emulator RAM and telemetry instead of screenshots.
EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs
A browser driving simulator where Jev chooses among locally generated paths and speeds.
A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice.
AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.
Coding agent with a TypeSafe judgment provider that uses Jev for typed checks, routing, and workflow decisions.
OpenChamber’s optional automatic model router uses Jev to classify a message before selecting a configured model and reasoning level.
Firstmate can optionally use Jev to match task briefs to dispatch rules before local policy chooses an Agent configuration.
AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.
Coding agent with a TypeSafe judgment provider that uses Jev for typed checks, routing, and workflow decisions.
A Jev UI-composition experiment inside the json-render website that selects from predefined component and property options.
Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
A small TypeScript client for asking Jev multiple typed questions about the same data.
A Ruby decision-model client for Jev through TypeSafe’s native API or OpenRouter.
A Pi Jev extension providing a decision tool, terminal playground commands and an API for other extensions.
TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer.
An optional Jev provider in Vellum Assistant sends conversation state and explicit questions to TypeSafe.
Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction.
An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions.
A local MCP code-quality reviewer returning structured scores to coding Agents.
A startup-idea evaluation demo assigning KILL, FIX or SHIP labels from Jev scores.
Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.
A grill-me style interrogation of your idea, with Jev doing the grilling.
This demo uses Jev from TypeSafe AI to autonomously fly a drone in a random city from point A to point B, avoiding obstacles along the way. A trip costs $0.01.
Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold.
Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.
CLI and MCP server for Forma benefit claims that can use Jev to classify receipt line items into reimbursement categories.
Trainable family of small Qwen-based Jev-like decision models with typed primitives, datasets, evaluation tools, and local inference.
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Open data, training recipe, and a 9B model for Jev-style choice and true/false decisions on Apple Silicon or NVIDIA GPUs.
Local Jev-compatible System One API that converts typed questions into DiffusionGemma classification prompts and probabilities.
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
Evidence-backed Jev use cases, patterns, prompts, and starter code.
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
An awesome collection of Jev use cases, workflows, and agent skills.
An optional TypeSafe provider for Composio that uses Jev to choose among tools and bounded argument options.
The TypeSafe provider in AI SDK lets TypeScript applications call Jev through the shared evaluate interface.
An optional TypeSafe HTTP adapter in Eliza’s source, not registered with the Agent runtime by default.
An optional LangChain.js TypeSafeClassifier integration for sending state and predefined questions to Jev.
A market-making experiment on Kuru’s MON-USDC book on Monad, with optional per-block Jev buy/sell decisions.
A browser driving simulator where Jev chooses among locally generated paths and speeds.
An experimental Hyperliquid trading bot using Jev to choose long or short and whether to open, close, or hold.
A dashboard combining live crypto market data with Jev-guided paper trading; no broker or live-order API is connected.
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.
Hermes plugin and skill suite using Jev for model routing, skill selection, memory filtering, compaction, and GUI actions.
A Claude Code output-pruning plugin filtering selected Bash output before it reaches the main model.
Unified AI SDK whose TypeSafe decide API supplies typed judgments for model routing, compaction, tools, and retrieval planning.
AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.
A Jev guardrail example in Agentgateway using a webhook to inspect model requests and responses.
An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client.
A collection of Jev developer-tool experiments, including Commit Sentry for semantic checks on staged diff hunks.
Android conversation copilot where Jev interprets chat context and helps rank candidate replies before the user inserts one.
An optional Jev provider in Vellum Assistant sends conversation state and explicit questions to TypeSafe.
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text.
A Codex Computer Use loop sending text candidates to Jev while desktop tools observe and act.
An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction.
An MCP server and skill adding Jev decisions to Aside browser Agents.
A macOS desktop clerk that books supplier invoices: Jev picks each click from a closed action list; a deep model only rewrites the playbook.
An optional Jev judgment module in Taskuary for checking user-defined conditions on task state.
Keeps an execution ledger for Claude Code and Codex CLI to check for passing validation after edits.
A film-and-TV attribute-scoring experiment inside GoodWatch comparing Jev question designs and batch sizes.
A MoonBit and TypeScript Jev playground covering games, browsers, command risk and small languages.
An educational AI hedge-fund prototype with an optional Jev adapter for structured judgments in fund decision workflows.
A demo job-search Skill for coding Agents that browses company careers pages in Chrome, uses Jev to screen AI and software-engineering roles, and saves the results.
An EVM Token screening tool with library, CLI and MCP interfaces for market-feature-based risk judgments.
A resume-review app that checks general writing and structure or compares a resume with a specific job description.
Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations.
Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models.
The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers.
Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types.
An optional Jev classifier integration for Python LangChain workflows.
An optional TypeSafe provider and Jev model integration for Pydantic AI.
A Spring WebFlux integration that detects error messages hidden in HTTP 200 response bodies.
Optional second-stage search: widen the hybrid pool, then Score-rerank candidates with Workers AI typesafe/jev.
A Jev project directory and discovery pipeline that stores integration evidence and can use Jev for classification.
Turns a music prompt into editable multitrack MIDI by asking Jev to choose instruments, harmony, and bar patterns.
Explores Jev on harmony exercises and music-theory questions, alongside a piano demo driven by chord choices.
A Pi-based terminal coding Agent whose main model handles reasoning, edits and tools while Jev provides advice.
Adds Jev-based selection before an existing test runner using diffs and test source.
A chat-style Jev demo whose answers are selected from predefined or custom options rather than generated prose.
Interactive three-level AI interrogation game powered by TypeSafe Jev; write responses and pass plea, logic, and paradox verdicts to earn release.
A macOS floating-window companion (documented in Chinese) for WeChat that reads the screen and uses a local small model to judge an incoming message's real intent and risk level, then drafts reply candidates — strictly read-only, with no injection into or hooking of WeChat itself.
AgentJev-0.6B, a fast open 'System One' decision model for AI agents that takes unstructured state (diffs, traces, logs) plus structured questions and returns calibrated probability distributions from a single roughly 50ms forward pass, with no output tokens decoded.
A framework where an LLM authors a task-specific harness for Jev — turning raw observations into features, constructing Jev questions, and combining the answers into actions — which can then be run, inspected, and optionally improved using reward signals and full execution traces.
A joke npm package that left-pads a string by calling TypeSafe's Jev model to do it, deliberately using a model call for a task that a single `padStart()` line could already handle.
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