Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
Awesome Jev - System-1 Agent Architecture Radar
A source-backed radar of open-source Jev projects with commit-pinned code evidence across 17 domains, plus a searchable site, an agent skill, and issue-based submissions.
- Category
- Sites & Guides
- Published by
- Community
- Author
- logicrw
- Added
- 2026-09-22
Tagscommunityjavascriptawesome-listagents
Highlights
- Catalogs 487 curated projects across 17 domains, linking each to commit-pinned source files and explicit decision points.
- Categories include Browser & OS Action (38), Data & Search (33), Context GC (30), CLI & Pipelines (29), and Creative Tools (16).
- Submissions are handled exclusively through GitHub Issues; the repository does not accept pull requests.
- Ships an agent skill via npx skills add and llms.txt files for querying the catalog, with MIT-licensed directory code.
- Sponsorship does not change inclusion review or organic ranking, and there are no paid sponsors yet.
Quickstart
bash
npx skills add logicrw/awesome-jev-projectsWatch out
MIT-licensed for the directory code, while listed projects keep their own licenses; the site uses cookie-free Cloudflare Web Analytics and unstated project licenses are noted individually.
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From the community
Posts from builders shipping with Jev right now.
Full Jev video tutorial
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Classifying rows in DuckDB
I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
A playable 16-judgment demo
typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run
AI multiple choice, not essay writing
WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more
Screening agent actions with Jev
Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x