Pick one option
Select from a known set and return probabilities with confidence.
Search 530 verified repositories across 11 categories and 25 languages.
Open-source Claude Cowork alternative whose eval testkit can use Jev as a typed verification judge for agent-produced work.
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.
Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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.
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Trainable family of small Qwen-based Jev-like decision models with typed primitives, datasets, evaluation tools, and local inference.
One AI trade decision every Monad block. Jev on Kuru MON-USDC.
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.
Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations.
Local Jev-compatible System One API that converts typed questions into DiffusionGemma classification prompts and probabilities.
Evidence-backed Jev use cases, patterns, prompts, and starter code.
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Open-model Jev-style server that reads next-token logits to return typed choices, rubric scores, and truth judgments.
Agentic TypeScript workflow framework with a Jev session checker wired into its workflows.
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.
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.
Applications can set deterministic thresholds, inspect uncertainty, and route low-confidence cases to a person or a larger model.
Select from a known set and return probabilities with confidence.
Place an input on an ordered scale with a full distribution.
Return the probability that a statement is true, from zero to one.
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
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.Provide the public GitHub URL and a concise description of what the project does.
Link to code, documentation, a demo, or another public source that makes the Jev integration verifiable.
We verify the evidence, choose the right category, and add accepted projects in a future catalog update.