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jev has changed computer-use forever. i built a computer use tool with jev that costs basically nothing to use, and has sub-second latency. it can even decide what to type, and doesn't need an LLM. open source. link below. no LLM required.

173,623 次观看 • 1 个月前 •via X (Twitter)

34 条评论

shiv 的头像
shiv1 个月前

repo: also, if you're building computer-use agents that need applications without the overhead of an entire computer, i'd love to talk - @tryisle

Daniel Zambrini 的头像
Daniel Zambrini1 个月前

Wait I thought Jev could not generate text, so how does it type?

Asaf Mazuz 的头像
Asaf Mazuz1 个月前

Nice! Consider adding it to

Asklv 的头像
Asklv1 个月前

Great proof that computer use can be reduced to fast, bounded click/type decisions instead of a generative loop. We used that split for social research: Jev picks typed actions, socai runs them in Chrome, and evidence becomes a cited report:

Phanindra Reddy 的头像
Phanindra Reddy1 个月前

here are some opensource use cases, love if you can submit a pr here as wlel

Ábel Énekes 的头像
Ábel Énekes1 个月前

Congrats man, but at this point every second person who has access to a coding agent did it

Pranav 的头像
Pranav1 个月前

add this on

Taper Solanki 的头像
Taper Solanki1 个月前

The real breakthrough is making computer use an engineered primitive instead of an expensive LLM loop.

Harshit Khemani 的头像
Harshit Khemani1 个月前

wait, wdym "doesn't need an llm"? @grok

Scooby 的头像
Scooby1 个月前

Hey saw your repo, wanted to talk about the pros/cons of using screenshots/labeling ui elements vs using internal accessibility stuff the apps expose. Would love to talk more

Diplocracy 的头像
Diplocracy1 个月前

Could you make it test mobile games/apps somehow? So it tests everything, clicks everywhere, tries to break it and notes all the bugs?

Truegav 的头像
Truegav1 个月前

How good is it at tasks though?

Jeremy Bosma 的头像
Jeremy Bosma1 个月前

The no-LLM part is the unlock

Brian Hadu 的头像
Brian Hadu1 个月前

how does it decide what to type without using an LLM?

The M0d3rn R3tr0 Gam3r 的头像
The M0d3rn R3tr0 Gam3r1 个月前

Im gonna install this to help with youtube and opusclip automation and see if it works

GBE 的头像
GBE1 个月前

wait so this can actually be your personal assistant like actually

Leo 的头像
Leo1 个月前

sub-second: relating to a time interval of less than one second

Harrison 的头像
Harrison1 个月前

sub-second latency on computer use is the part that matters. nobody talks about it but it's why most of these demos feel broken in practice

Chef Decoder 的头像
Chef Decoder1 个月前

nice one 🔥🔥🔥

Vlad Terin 的头像
Vlad Terin1 个月前

Nice! How are you building the choices for what to type? My Codex version supplies the text and lets Jev choose the action—curious about your approach.

ZAY TRADE 的头像
ZAY TRADE1 个月前

Damn JEV is like the upgrade from cydia repos x 10000

Isma 的头像
Isma1 个月前

can't see yet only receives DOM

AI Mastery Guide 的头像
AI Mastery Guide1 个月前

Wait, no LLM at all?

Ravi 的头像
Ravi1 个月前

latency was always the bigger blocker for computer use, more than cost. a screenshot → model → action round trip on every step adds up fast on a 20 step task. drop the model call and most of that goes away. then the hard part is grounding: finding the right element after the UI

Tobi 的头像
Tobi1 个月前

the important distinction is not whether a model is in the loop. it is whether the system can keep the action narrow and check the result before it becomes consequential.the important distinction is not whether a model is in the loop. it is whether the system can keep the action narrow and check the result before it becomes consequential.

Klasta 的头像
Klasta1 个月前

No LLM in the loop. The keys already knew the sentence.

Siddharth Vishwanath 的头像
Siddharth Vishwanath1 个月前

Can it fill out forms for me? Can it send text through whatsapp?

Valentin Rudloff 的头像
Valentin Rudloff1 个月前

The app keeps quitting the app I want to interact with

Jhon Dennis 的头像
Jhon Dennis1 个月前

不靠大模型也能把下一步选出来 这才是真正的 agent 基础设施 延迟和成本一起下来 普通人也能随手接进工作流

Milos Zlatanovic 的头像
Milos Zlatanovic1 个月前

how yall make all dis things

Matteo M. 的头像
Matteo M.1 个月前

Thats cool and all but wouldnt navigating via dom insta flag you as a bot? Especially since it is so incredibly fast

Proud Indian 🇮🇳 (Modi Ka Pariwar) 的头像
Proud Indian 🇮🇳 (Modi Ka Pariwar)1 个月前

Would you have any extra invite?

Dan 的头像
Dan1 个月前

This is so interesting

Itay Abraham Cohen 的头像
Itay Abraham Cohen1 个月前

Ew why did you make him do such an abhorrent act to your machine

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Bober_smart

20,161 次观看 • 29 天前

this is f*cking gold 20 GitHub repos with 500K+ combined stars that will level up your JEV workflow AGENTS > jev-ultrafast: Jev picks every click and DOM target, a small LLM only types > hermes-jev-skills: routing, memory, compaction and skill picks in one pack > typesafe-computer-use: OCR reads your Mac screen, Jev picks the next click MEMORY > fast-jev-compaction: scores every tool call keep, truncate or drop instead of summarizing > jevmem: project memory for Claude Code, Cursor and Codex, updated every turn > jev-second-brain: your Obsidian vault, Jev judges which notes duplicate, revise or contradict SAFETY > jev-guard: a gate before every tool call, Jev scores the risk, you set allow, ask or deny TOOLS > skills: the official TypeSafe skill for Claude Code and Codex > system-one-adapter-python: dry-run your questions on an ordinary LLM before you burn a Jev key > jev-mcp: claim checks, screening and ranking as MCP tools > typesafe-mcp: plug Jev into any MCP client > json-render: Vercel's generative UI, where Jev picks the components OPEN MODELS > SemIf-OpenJev: semantic ifs from frozen open models kev: Jev-like models on Qwen that run on your MacBook > laya-mlx: the Laya decision engine on Apple silicon > clm: an open System One model with Choice, Noul and Score > jevlike: train your own Jev-like model TRADING > jev-trader: one buy or sell decision per Monad block START HERE > awesome-jev: the biggest map of everything built on Jev > awesome-jev-by-typesafe: use cases, patterns and starter code bookmark it before your next build

NO1ennn

18,445 次观看 • 1 个月前

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