Open-source · community-owned AI

Own the intelligencebefore it's priced out

EGOS is one app with an AI assistant, an encrypted messenger and a wallet. It runs on a decentralized network of GPUs that its users own. Nobody can raise the price, throttle it or switch it off

Big AI is getting expensive Plans: $20 → $2,000/mo Away 5 min = 12.5× token cost
EGOS today AI + messenger + wallet live on web Open source, community-owned
One app

AI, people and money in one window

Treasury splitopen-70b · 3 nodesend-to-end encrypted
Summarize vote #14 and pay this month's node rewards to the team
routed to Lisbon, Berlin, Seoul380 ms0.004 EGOS
Vote #14 moves 20% of network fees into a shared GPU fund. It's passing
  • 71% for, 29% against, 6 hours left
  • 3 operators ran nodes this month, 120 USDT each
SEND · 3 RECIPIENTS · ••4F2A360.00 USDT
Ask EGOS AI or message someone

Product preview. Names, amounts and nodes are examples

The squeeze

Cheap AI was a subsidy
It's ending

The $20 plan made everyone a solo founder, shipping a SaaS a week with an agent for everything. That only works while someone else pays for the GPUs

100×

From $20 to a possible $2,000 a month. $200 tiers already exist. At $2K, the solo-builder story stops adding up

12.5×

What resending your context costs once a prompt cache expires, compared with a cache hit

5min

How long that cache lives. Take a call, come back, and you pay full price again

Slower, capped models Stricter filtering Shrinking usage windows Terms that change overnight
Your bill

What would your AI cost without the subsidy?

Pick how you use AI. The calculator compares the plan you pay for today with what the same compute costs at API prices

8
112
At API prices$1,920/ month
Plan you pay today$200
Same usage at API prices$1,920
9.6× what you pay now. On EGOS the price is set by the network and the people who run it

The network

Intelligence that belongs to the people using it

Open-source models run on GPUs and CPUs that the community contributes. Operators earn for every request they serve. Holders vote on models and prices. A boardroom doesn't set what your AI costs

Open weights

You can see which model answered you. Switch models anytime and keep your history

Your hardware

A gaming GPU or a spare server serves requests and earns rewards while it's idle

Public rules

Pricing, model choices and the treasury are decided by on-chain votes

The product

Six layers. Three already live

This doesn't start from zero. The AI client, the messenger and the wallet already work together in the web app. Next come the compute network and Ember, the incentive layer

AI client

Live

A ChatGPT-class assistant on open models, inside your chats. Every answer shows what it cost

open weights · pay per answer

Messenger

Live

Encrypted chats and groups, already in production. Mention @egos and the AI joins the conversation

end-to-end encrypted

Wallet

Live

Send, receive and swap crypto from any chat. Pay for compute in the same place you talk

crypto · in every chat

Compute network

Next

A decentralized GPU and CPU mesh. Contribute your hardware, serve requests and get paid

GPU + CPU · community-run

Ember

Coming

The incentive layer. Rewards for running nodes, inviting people and building on the network

rewards · levels · quests

DAO + token

Later

Holders vote on models, pricing and the treasury. The token ties usage, compute and governance together

on-chain votes
Why now

Build the exit before the doors close

Today

AI is cheap because investors cover the cost

Everyone builds on two or three providers and gets used to it

Next

The subsidies end

Prices go up, limits tighten and token economics turn against users

Then

Millions of people look for a way out

The alternative needs to be running already, with its community in place. That window is now

Early access

Be early to the AI nobody owns

Get the app first, run one of the first nodes, and help write the rules