eve
包含 Jev 评估功能的智能体框架,Jev 只是其中一部分。
Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
EXPLORE JEV
浏览模型网关、框架适配器和服务集成,了解 Jev 如何进入现有技术栈。
THE RESOURCE INDEX
项目、工具、教程与文章
原始链接,按用途整理。
支持中文与多关键词,例如:浏览器 DOM。
全部资源
包含 Jev 评估功能的智能体框架,Jev 只是其中一部分。
Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
包含 Jev 评估功能的命令行工具。
Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
Self-improving agent harness with an optional TypeSafe Jev companion for typed Choice, Score, and Noul judgments.
Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships
Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity.
Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.
Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.
Community Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies.
Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev)
Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each
Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model
API 说明、快速入门与使用示例。
n8n community node for the TypeSafe AI System One API — typed yes/no, choice and score questions with calibrated probabilities
@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
网关模型页面,当前接入方式与价格以服务商说明为准。
Hosted typesafe-ai/jev for AI SDK evaluate calls, no TypeSafe waitlist required.
Jev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking.
Pull request adding Jev to station-suggestion reranking in the TrainLCD transit app.
CLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered by Jev and Herdr
Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)
daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill
Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev
100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One
Verbatim Jev-scored context reduction for omp, over TypeSafe or OpenRouter
grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.
Build versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine.
A curated list of projects, integrations, and resources for Jev, TypeSafe AI's System One model.
A DeepSeek coding agent harness: persistent shell, Ultra subagents, auto approval, Chrome MCP and session telemetry
Agent-native LLM model router built with JEV by TypeSafe.ai. Dynamically selects the most suitable model based on task complexity, reasoning requirements, and tool usage.
LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
Natural-language MCP tool dispatcher powered entirely by TypeSafe's Jev — no general-purpose LLM. Discovers a simple MCP server's tool signatures at runtime and uses Jev's typed primitives (Choice/Noul) to pick the right tool and extract its arguments straight out of the sentence.
Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring
An eval-first MCP server for TypeSafe's Jev, a System One model that returns typed judgments (noul, choice, score) with probabilities instead of generated text.
TypeSafe System One / Jev community directory — GitHub projects & posts around typed decisions (typesafe.ai)
Aside agents decide with TypeSafe Jev (System One: Choice/Score/Noul). Not a Cua binding — Jev is the model, Aside is the browser runtime.
MCP server exposing TypeSafe (Jev/System One) to the fleet: judge, rerank, systemone
open-sourced jev-flash-router: an MCP server for TypeSafe's new Jev model. AI coding agents waste hundreds of reasoning tokens just deciding which file to edit, which route to pick, or whether a diff breaks tests. Jev evaluates state and outputs calibrated probabilities. Works with Cursor, Windsurf, & Claude Code
MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code
A terminal coding agent with Jev in the loop: skill selection, code ranking, and failure triage.
Jev-powered context curation for Codex. Build compact, traceable handoff context through native plugins and skills.
Live-stream encoder settings from telemetry and history: TypeSafe's Jev decision model inside a deterministic safety envelope. Deno, Node, edge runtimes.
A second signature on every write an AI agent makes into a system of record. MCP proxy: fetch the records, derive in code, Jev judges. 98.6% recall, 0 false holds on 288 cases.
A Node-first, policy-bounded payment-context scorer using Jev for held-out feature discovery and per-transaction context.
Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
MCP server for TypeSafe's System One API (Jev): typed choice/noul/score judgments with calibrated probabilities and confidence
Experiments on TypeSafe Jev (System One decision model) via OpenRouter: repeatability, perturbation, and LLM baseline comparison
Jev chess experiments: independent decisions vs tactical and Stockfish assistance, with full traces and video replays
Hermes Agent plugin: route each turn to the one skill that fits, via TypeSafe Jev on the Vercel AI Gateway. Fail-open, opt-in, stdlib only.
Moving-highlight context compaction for agent harnesses — Jev-scored span retention, tombstone restore via MCP
An independent, evidence-first field guide to Jev (TypeSafe AI's System One model) — for people and for coding agents. Not affiliated with TypeSafe AI.
TypeSafe Jev demos: Play inbox, Czajka guard, agent-card router, seed comparator, RL data triage
One MCP server for TypeSafe's Jev: typed, calibrated decisions instead of generated text
Interactive playground for testing Jev model-routing decisions against OpenRouter models
Jev-style one-pass skill router for OmO: shrink the skill catalog in your system prompt with one forward pass (frozen Qwen2.5-0.5B + jevlike head, fail-open extension)
A local-first skill library and visual skill tree, with Jev routing and MCP access.
Open-source macOS AI computer use and native GUI automation on Apple silicon. Jev + OmniParser CoreML + Apple Vision OCR. Bring your own OpenRouter, Vercel AI Gateway, or TypesafeAI token.
TypeSafe Jev experiments via Vercel AI Gateway: pixel B&W/gray images + long-context relevance filter bench
Jev selects developer tools; Codex handles code. MCP and Jev-first execution with measured benchmarks.
Routes a thread's first message to the right harness and model with TypeSafe (Jev), then asks you to confirm.
Claude thinks, Jev reacts: an MCP server that hands browser tasks from Claude to TypeSafe's Jev (~100 ms per decision).
Go Jev harness for Claude Code, Codex, and Grok Build. No npx. Not an MCP server.
Moderation for communities and apps, powered by Jev (TypeSafe): probabilities per category, thresholds you own. Discord/Telegram/Reddit bots, CLI, Python, npm, HTTP API, MCP.
Typed decisions from the shell: a stdlib-Python CLI and Agent Skill for TypeSafe Jev on OpenRouter. Yes/no, choice and ordinal scores with calibrated probabilities, semantic grep and batch mode.
Jev decision sidekick for Hermes Agent — TypeSafe and Cloudflare, explicit tools and official skill
Open-source Jev-compatible MCP server for typed decisions (Choice/Score/Noul): local GLiNER backend with a model router, drop-in swappable with the TypeSafe System One API.
Select relevant MCP tools under a context-token budget, without executing them.
Local MCP gateway with Jev tool discovery, secure credentials, CLI and dashboard
Worked examples for TypeSafe's Jev System One decision model, runnable today through OpenRouter
An LLM router that uses Jev (TypeSafe System One) to dispatch each request to the cheapest model and lowest reasoning effort that will do the job. OpenAI-compatible proxy, Claude Code and Codex wrappers, TypeScript and C#.
A liquid magic eight ball powered by TypeSafe Jev decisions through OpenRouter
Reproducible benchmark for TypeSafe AI's Jev on agent tool-call risk classification: accuracy, latency, and whether the confidence score is worth routing on.
Verify before you trust. Cross-provider verification with LLMs and Jev. CLI, library & MCP.
MCP server with tooling for JMR - LIX , JEV and Database tooling
Jev test bench — Texas Hold'em edition: live-fire testing of TypeSafe's Jev evaluation model through a React poker game (Vercel AI Gateway). MIT.
试试项目英文名、相关用途,或重置筛选。
部分项目补充了中文用途说明,原始描述保留供对照。在 GitHub 阅读完整目录 ↗