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拓展阅读 / Awesome Jev:生态资料导航

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Infra / SDKs / Integrations

Use this category for ecosystem tooling built around Jev — SDKs, wrappers, gateways, framework adapters, evaluation scaffolds, local ports.

Submission format

md
- [Name](URL) - Industry: one-sentence description of the Jev use case.

Entries

  • eve - Agent frameworks: Vercel's eve engine ships Jev as the default evaluation model (typesafe-ai/jev) in its experimental evaluate path.

  • AI CLI - Developer tooling: Vercel Labs CLI that can run Jev as the evaluation model for its evaluate command.

  • jev-mcp (jkudish) - MCP ecosystem: proof-of-concept MCP server that puts Jev claim verification, content screening, and candidate ranking behind standard MCP tools.

  • jev-mcp (blakestone-x) - MCP ecosystem: MCP server exposing Jev classify, score, check, match, and screen as tools for any agent, with confidence on every answer.

  • zio-typesafe-ai - Scala ecosystem: ZIO client for TypeSafe AI with a typed DSL over Jev decisions.

  • laya-mlx - 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.

  • TypeSafe AI Swift SDK - Swift ecosystem: dependency-free Swift 6 client for Jev Choice, Score, and Noul questions with strict concurrency, configurable authentication and retries, and offline transport tests.

  • laravel-typesafe-jev - PHP ecosystem: unofficial Laravel integration for Jev with typed responses, async requests, scoped dependency injection, and testing fakes.

  • advocaat - Data tooling: small type-safe client for asking Jev questions about a dataset.

  • jevclient - Python ecosystem: async client for Jev published on PyPI.

  • LlamaIndex Jev - Retrieval / RAG: unofficial LlamaIndex adapter where Jev Scores each retrieved passage and Choice/Noul selects the query engine, with nfcorpus nDCG@5 0.340→0.396 at about $0.0003/query.

  • safer-with-jev - Cloud infrastructure: Neon Function proxy for the Neon AI Gateway that routes decisions with Jev.

  • typesafe-ai/skills - Official tooling: installable agent skills package (npx skills add typesafe-ai/skills) that teaches agents the Jev workflow.

  • Smithers - Agent frameworks: TypeScript workflow framework with a Jev session checker wired into its workflows.

  • skillbox - Skills infrastructure: self-hosted versioned skills library that adds optional Jev recommendations using your own TypeSafe or Gateway key.

  • Jevbridge - Agent bridges: ACP and MCP adapter that exposes Jev typed decisions to Codex, Claude, Grok, and other LLMs.

  • jev (Elixir) - Elixir ecosystem: GenServer client that replies with Jev's answer so callers can pattern match on it directly.

  • jev-go - Go ecosystem: community Go SDK for Jev.

  • jev-cli - Developer tooling: small dependency-free CLI for Jev.

  • decide-mcp - MCP ecosystem: configurable decision server with percentage scores and bias-profile routing on top of Jev.

  • typesafe-jev-examples - Starter examples: worked ticket-triage and reranking examples runnable through OpenRouter without an early-access key, shipped with their own sample data and Makefile.

  • ai-python - Python ecosystem: the official Vercel AI SDK for Python carries Jev through its evaluation operation and Gateway examples.

  • Cline plugins - Coding agents: Cline's official plugin collection includes a Jev-driven browser plugin (jev-browser), so Jev arrives as a first-class Cline capability.

  • hono-jev-router - Web frameworks: Hono middleware that routes HTTP requests by meaning rather than by method and path, deciding with Jev.

  • rotom - Local gateways: OpenAI- and Anthropic-compatible API gateway that carries Jev through its model catalog and evaluation path.

  • Jev AI - Developer tooling: public Jev playground and API that puts typed Choice, Score and Yes/No questions to the model about pasted text - ticket triage, moderation, review scoring - and returns a parsed answer with a confidence value in about 0.5 s per decision.

  • jevql - Data tooling: psql-shaped CLI and Go/TypeScript/Python SDKs that run plain SQL on a vanilla Postgres (no extension) and then ask Jev Noul, Choice, or Score questions about each surviving row so the client can apply jev() filters, jev_prob sorts, and jev_choice groups.

  • sqlite-jev - SQLite ecosystem: loadable C extension and Python package that expose Jev Noul, Choice, and Score judgments as SQL functions and batched virtual-table queries with confidence results.

  • jevkit - Developer tooling: Rust CLI that validates Choice/Score/Noul question sets with 13 offline lint rules before any Jev call, then sends the canonical wire payload and prints parsed, confidence-bearing JSON answers to stdout using exit code 2 to reject a billed-but-useless request.

  • jev-use - MCP ecosystem: Claude Code / Codex / pi plugin (MCP server + library, native pi extension) that hands agent steps needing no text output to Jev as typed judgments — untypeable and generation-needing questions are rejected before the call, low-confidence answers come back flagged as priors, and a fail-open PreToolUse gate can only deny or ask.

  • huncho - TypeScript ecosystem: dependency-free SDK that turns Jev Noul, Choice and Score answers into named decisions with enter/exit thresholds (hysteresis), nested decision trees settled in one call, a JSONL journal, replay of a threshold change over recorded answers with no inference, and Brier/reliability calibration, over TypeSafe direct, OpenRouter or Vercel AI Gateway.

  • jev-experiments - Demo collection: 22 latency-focused Jev applications built by Devin, each with its own README and testing notes, spanning shell guards, log sentinels, instant search, reranking, and voice turn-taking.

  • ruby_decision_model - Ruby ecosystem: client for decision models such as Jev, so Ruby applications can put typed questions directly to the model.

  • s1_ruby - Ruby ecosystem: makes System One measurement, and the collapse that follows it, a Ruby primitive, with a TypeSafe provider behind its own spec suite.

  • JarvisCore - Agent frameworks: Python multi-agent runtime that ships Jev natively from 1.12, where agents ask typed Choice, Score and Noul questions through a decision client separate from the text model, the Kernel picks a specialist subagent by Choice, and each retrieved RAG passage is withheld from the generating model when its prompt-injection Noul exceeds 0.70.

  • hunch - Ruby ecosystem: turns judgment calls into control flow — if Hunch.likely?("fraudulent", given: order) reads like plain Ruby but branches on a typed Jev answer, with pick for Choice, rate for Score, and graded predicates from possibly? to definitely?.

  • Early experimentation using Jev to rethink harness UX - Harness integration: an agent platform wires Jev into its LLM harness as a callable tool for search, approvals and context, reporting 2,000 expense reports categorized in 20 seconds for five cents.

  • jev-mcp (burnigtm) - MCP ecosystem: server that puts Jev into the coding loop for Cursor, Codex, and any MCP client, with 20 test files behind it.

  • jev-skill-suggester - Coding agents: recommends which installed skills apply to a request, keeping the recommendation bounded and letting Jev decide.

  • grok-bot-jev - Agent bridges: connects Jev to Grok Bot as a cheap decision layer, with usage gates, a skill template, and worked examples.

  • jev-architect - Design skill: finds, designs, and evaluates Jev decision loops, packaged as a skill with references on decision design and delivery.

  • Building a Harness with Jev - Framework guide: LangChain's walkthrough of wiring Jev into an agent harness as the decision layer, from a team that then published its own evaluation of Jev as a judge.

  • openrouter-jev-mcp - MCP ecosystem: Python decision gateway and stdio MCP server exposing TypeSafe's Jev model through OpenRouter's alpha decisions endpoint.

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