
By builders, for builders. Build on the trust layer for AI, created by @0G_Labs. Home of the latest private models, storage, DeFAI and decentralized agents.
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Joined September 2025
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DevRel team is cooking. Look what @udhaykumarbala built.
Floaty is a desk agent on an @M5Stack StackChan that does research for him, runs his mornings and remembers what he says.
Its brain runs on 0G Private Computer, with memory kept private in a TEE. Help him name it!
Meet Floaty 👋 Release 0.1 is out.
A tiny AI agent that lives on my desk. Ask it to look into something and it digs in and reports back. It remembers things and runs my mornings.
The heavy thinking happens on 0G PC by @0G_labs.
Floaty is a codename. share your name suggestions
Most staking pays you more of the token you already hold.
Eligible staked iAI is designed to receive compute credits instead, with a stated usage value of more than $1 per day, subject to product terms. Spendable across 100+ models on 0G and refreshed at 00:00 UTC.
Minting for Infinite AI (iAI) is open on iai.finance.
Most staking pays you more of the token you hold.
iAI pays in AI compute.
Eligible staked iAI is designed to receive compute credits with a stated usage value of more than $1 per day, subject to product terms.
The part worth noticing if you build: the compute is a bearer right. Stake the token and the credit follows, whether you minted it or bought it.
Only the minting wallet can burn to release the collateral. So the inference budget travels, the collateral claim does not.
The kitchen is for:
- Cooking 🧑🍳
- Drinking 🍷
- Creating high-fidelity robotics simulations for on-chain control 🤖
More revealed at @0G_labs Dev Day
We had to pick a model for Ask AI on the 0G Builder Hub and the docs, so we ran the same question through five of them with the same 2000 token output cap.
Nothing here failed on quality. What separated them was where those tokens went.
glm-5.3 is the opposite. Deep thinking is always on, so with a 2000 token ceiling the reasoning used the whole budget.
Raise the cap or drop reasoning_effort and it answers fine. Our cap was tuned for a docs widget, not for a model that thinks this hard.
Router USD mode goes offline for two hours tomorrow, 02:00 to 04:00 UTC.
If your app can fall back to 0G mode, it will barely notice. Neither 0G mode nor Advanced Mode touches the payment layer, so both stay up.
Worth keeping a funded 0G balance around for exactly this reason.
Getting users funded on a new chain is usually the app developer's problem. You end up writing a bridging guide nobody reads.
This takes it off your plate. Bridge in from six chains, swap, and land on a page that points at apps to actually use.
0G Hub is live.
Bridge in from Ethereum, Solana, Base, Arbitrum, BNB Chain and Robinhood Chain.
Swap on 0G.
Find what to do with it, all in one place.
hub.0g.ai
🚨 Heads up if you use Router USD mode on 0G Private Computer.
We are upgrading the payment system behind it on Thu 24 Sep, 02:00 to 04:00 UTC.
USD mode is unavailable in that window and card top ups pause. 0G mode and Advanced Mode keep running, neither touches the payment layer.
Local times for the window:
10:00 to 12:00 SGT
04:00 to 06:00 CEST
03:00 to 05:00 BST
02:00 to 04:00 UTC
19:00 to 21:00 PDT on Wed 23 Sep
22:00 on Wed 23 Sep to 00:00 EDT
We rebuilt the 0G public RPC. Now geo-routed across 7 regions with HTTP/2 and WSS.
eth_call latency:
São Paulo 290ms → 24ms
Frankfurt 248ms → 26ms
Sydney 231ms → 34ms
London 252ms → 40ms
Singapore 76ms → 19ms
A typical dapp page load from Europe went from 2.4s to 0.3s.
Honest question for anyone building agents.
Would you let one spend its own money without asking you first?
44%Already do
22%Only with a hard cap
11%Never, I hold the keys
22%What could go wrong 😎
9 votes • Final resultsEvery new coding session starts with you re-explaining the project.
0G Memory stores the prompts, replies and tool calls encrypted on 0G Storage, so the next session already knows why you picked Postgres and what broke in auth last week.
github.com/0gfoundation/0g-m…
Cheapest model on 0G right now is Qwen-Flash: 2 cents per million input tokens, 1M context.
The priciest is o3-pro at $20 per million. Same API key, same balance, about a 900x spread.
Fun Fact: Most apps still send every call to one model.
pc.0g.ai




