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We put jev in a claude code mod...

18,011 次观看 • 9 天前 •via X (Twitter)

20 条评论

Nars 的头像
Nars9 天前

Try for free:

Ronak 🦀 的头像
Ronak 🦀8 天前

Whoa I think that would be really interesting to see! 👀

Nars 的头像
Nars8 天前

Yeah it’s borderline addictive

Vundela Vamsi 的头像
Vundela Vamsi8 天前

@narsagna What if Claude Code itself is doing this step?

Nars 的头像
Nars8 天前

This works across your harnesses

Nachilos 的头像
Nachilos8 天前

I can see Claude skipping reasoning because of this, then making a mistake, and being like... 😂

Mahavir Agarwal 的头像
Mahavir Agarwal9 天前

benchmarks?

Nars 的头像
Nars8 天前

93% on longmemeval, still improving

Jason | Cesto 🧺 的头像
Jason | Cesto 🧺8 天前

Love to see it

psd369 的头像
psd3699 天前

I love this great idea brother keep it up I just started using this, I had made a plugin for this exact problem but I guess I don’t need that anymorree great stuffff

Nars 的头像
Nars9 天前

yess glad you're finding it useful

Akash Pavan / Chasi 的头像
Akash Pavan / Chasi8 天前

pretty cool!

Kamran 的头像
Kamran9 天前

Ok, but how’d use jev?

Nars 的头像
Nars9 天前

it makes a bunch of decisions based on each prompt - does this need referencing old sessions, which messages to pick etc, that what make this a just-in-time memory

Kamran 的头像
Kamran8 天前

Cool! But if u parse in all of the message convos at once won’t it be too much of input tok and hence price incr?

Nars 的头像
Nars8 天前

yeah which is why jev is very effective here

BreezeOg 的头像
BreezeOg8 天前

jev in claude code 😭 love it

Nars 的头像
Nars8 天前

🤣

Parth Parekh 的头像
Parth Parekh8 天前

Have you checked whether it increased token consumption while reading session transcripts everytime or does it include in cache ?

Nars 的头像
Nars8 天前

Decreased, will include analytics soon

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Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

204,901 次观看 • 1 个月前