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Agent Zero crushed Codex by 2.6× on token efficiency! We gave both agents the same task on the same local model (Qwen3.6 27B): build a retro Q*bert arcade game. Each agent wrote and rewrote it across iterations, adding enemies and a HUD. Outputs: • Agent Zero: 239K tokens, 53...

320,509 görüntüleme • 3 ay önce •via X (Twitter)

35 Yorum

GitLawb profil fotoğrafı
GitLawb3 ay önce

Zero is amazing

atomic.chat profil fotoğrafı
atomic.chat3 ay önce

Run Local AI Models and agents:

Aman profil fotoğrafı
Aman3 ay önce

2.6x fewer tokens is actually insane

atomic.chat profil fotoğrafı
atomic.chat3 ay önce

true. especially when we are speaking about limited context window :)

XiaoXin|201.eth profil fotoğrafı
XiaoXin|201.eth3 ay önce

this is @Agent0ai not @gitlawb

aditya profil fotoğrafı
aditya3 ay önce

Tokens optimisation 🫡

augmented things profil fotoğrafı
augmented things3 ay önce

Wow. That’s great.

🏆🇧🇷💎Jack Hunter 💎 🇧🇷🎖️🥇 profil fotoğrafı
🏆🇧🇷💎Jack Hunter 💎 🇧🇷🎖️🥇3 ay önce

Cool! @gitlawb’s Zero is great indeed!!

dumbfoundry profil fotoğrafı
dumbfoundry3 ay önce

thanks for sharing, fyi @agent0ai is not from gitlawb

Luis Gamas profil fotoğrafı
Luis Gamas3 ay önce

Zero is hands down one of the best open-source harnesses I've used, imagine being able to invoke it right from your phone 👀👇

Prompt Heat profil fotoğrafı
Prompt Heat3 ay önce

can i use witf gpt-gemini or claude and cline-opencode-Cursor sub in this cli tool???

William Belfort profil fotoğrafı
William Belfort3 ay önce

Interesting… 👀

Frosty40 profil fotoğrafı
Frosty403 ay önce

where is the prompt for this one? would love to test my private harness just to see how it compares.

Rob profil fotoğrafı
Rob3 ay önce

Agent Zero is still around? The same Agent Zero that came out around the time CrewAI popped up? Neat, might have to revisit them

mardi profil fotoğrafı
mardi3 ay önce

nice try... the power being showcased in this video is the real agent zero → @Agent0ai interesting that the gitlawb account doesn't even seem to know what its own software looks like

Alessandro Frau profil fotoğrafı
Alessandro Frau3 ay önce

Thank you so much for showing Agent Zero capabilities and efficiency 🫶🏼

SSH profil fotoğrafı
SSH3 ay önce

if you really want the biggest token efficiency boosts then use Grug!

Carter Jiang profil fotoğrafı
Carter Jiang3 ay önce

2.6x fewer tokens and it actually built a working game? That's the real flex. Most "efficient" agents just output less, not better.

Saman Ahmed profil fotoğrafı
Saman Ahmed3 ay önce

The token count is only part of the story.

Trần Ngọc Sơn profil fotoğrafı
Trần Ngọc Sơn3 ay önce

Compare it to the cursor.

Pixel profil fotoğrafı
Pixel3 ay önce

Cleaner context management = fewer hallucinations and better final output.

安叫兽|Bird🕊️ 🔶 BNB profil fotoğrafı
安叫兽|Bird🕊️ 🔶 BNB3 ay önce

时间差不多,token 差这么多挺离谱

稳住拿好等风来 profil fotoğrafı
稳住拿好等风来3 ay önce

@Agent0ai

Jinjala dinesh profil fotoğrafı
Jinjala dinesh3 ay önce

Please fight on terminal bench

Mark R Pommrehn profil fotoğrafı
Mark R Pommrehn3 ay önce

Nice!

Epoch Lens | AI & Tech profil fotoğrafı
Epoch Lens | AI & Tech3 ay önce

Codex used 388K extra tokens to finish 2 minutes faster. The agentic equivalent of running git log -p --all before changing 1 line.

euxaristia profil fotoğrafı
euxaristia3 ay önce

Better output, less tokens. Zero is goated

BeastTitanHunter profil fotoğrafı
BeastTitanHunter3 ay önce

@thsottiaux @OpenAI !!!!!

Dany Boy profil fotoğrafı
Dany Boy3 ay önce

@grok what music is this? Love it

AshutoshShrivastava profil fotoğrafı
AshutoshShrivastava3 ay önce

agent architecture matters a lot .

Michael profil fotoğrafı
Michael3 ay önce

Agent One crushed Agent Zero by 5x on token efficiency

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 ay önce

Only sending what's new instead of the whole history is such a clean fix.

Carry profil fotoğrafı
Carry3 ay önce

one benchmark on a retro game and the headline is 2.6x lol what does this look like on something with real dependencies 😐

Amitakshya Sutar profil fotoğrafı
Amitakshya Sutar3 ay önce

@all Can anyone tell me what font is used for that zero ? I’m kind of obsessed with that style of art.

AAD profil fotoğrafı
AAD3 ay önce

It’s not @gitlawb btw, it’s a fork of agent zero (real one)

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Jurij Skornik

11,180 görüntüleme • 5 ay önce

Qwen3.8-Max became the brain of Atomic Agent, Hermes and OpenClaw. We gave the same task: Turn a photo of a hand-drawn floor plan into an interactive 3D walkthrough of that apartment and open it in the browser. Outputs: – Atomic Agent: 66 min, 557K tokens, $2.01 – OpenClaw: 32 min, 1.2M tokens, $1.12 – Hermes: 2 h 14 min, 4.2M tokens, $6.42 Before the start we leveled the field: one model endpoint, equal step and token budgets, equal timeouts, full autonomy, memory wiped on all three. Atomic Agent reads images through its vision tool, so it interrogated the sketch 14 times until every room, door and window turned into data. Then it drafted the whole scene in its head six times, threw away five drafts, and wrote the finished 19.8 KB file in one single write. After that it opened Chrome, checked its own render, and only then replied. The only agent of the three that verified its work, and the only one that stopped on its own. OpenClaw was twice as fast and the cheapest of the three, but its image tool kept timing out mid-run, and it shipped the palest apartment of the day: white rooms, no floor colors, one texture visibly glitched, and furniture you have to squint to find. It read the full plan three times, cut 11 room crops, wrote the scene in chunks, and landed the fastest and cheapest apartment of the day in 32 minutes. Then it kept polishing the finished file until we pulled the plug. Hermes worked the longest: two hours, 97 model calls, 4.2M tokens, and the apartment came out wrong anyway: doors standing loose in the middle of rooms, a 2 by 1.8 bath sprawled across a quarter of the flat, furniture drifting away from the plan. It measured everything twice and still built the least accurate apartment. Atomic Agent will run Qwen3.8-27B locally on day zero, next week!

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123,376 görüntüleme • 2 ay önce