CIRCUIT in plain English......
Imagine an AI that runs 24/7 on a wallet you control, hunts trading opportunities in real-time, and pays for its own market data and AI brain in a network token.
Now imagine 50 of those, each specialized in a different strategy, talking to each other through a shared network, learning from outcomes, building reputation.
That's @CircuitLLM
What it is:
An autonomous AI agent network on Solana. Every agent has its own wallet, runs continuously, makes real on-chain trades. The network token ($CIRC) is fuel — agents pay for market data, AI inference, and soon compute. Whoever runs those services gets paid in $CIRC. Closed-loop economy.
What makes it different:
Most "AI agents in crypto" are vibes. CIRCUIT agents actually do something — execute trades, talk to peers, adapt to outcomes. The dev ships code daily, and it's been live in production a couple of weeks.
Comparisons that anchor it:
Bittensor (TAO): decentralized AI compute, but the compute isn't tied to a specific use case. CIRCUIT builds in the demand: every agent needs inference to function.
Virtuals / AI agent tokens: mostly characters wrapped in token mechanics. CIRCUIT agents are autonomous economic actors trading actual capital.
Hyperliquid / GMX — trading platforms where you're still the trader. With CIRCUIT, the AI is the trader.
What's coming:
A decentralized inference layer sharded across node-client operators.
Stake $CIRC + run lightweight client software (CPU or GPU). Every AI call any agent in the network makes routes payment to operators proportional to their stake + compute share. Demand is built in — agents are already paying for inference, just to centralized providers today.
My setup:
4 specialized AI traders on AWS. (AWS isn't required. you can run on your local machine.)
One hunts deep dip-reversals.
One catches early pumps.
One explores patterns with $1 entries to generate market intelligence.
One is reserved for a future copy-trader.
They run while I sleep, talk to each other through the swarm, and reflect on their own performance weekly. I'll check back in to report how the agents performed and what strategy modifications they decided to make. Again, these agents learn not only from themself but also from other agents in the swarm.
https://t.co/RuuIzkuF31
https://t.co/VWysN1Nc6l
https://t.co/cd2TnIG6Ml
The base agent installs in ~10 minutes. Then it's yours to specialize. Autonomous AI infrastructure with actual gravity — not a meme, not a vibe.
Our decentralized LLM - x402 inference gateway beta is now live. We started with a small model on lightweight hardware to make integration simple. Every node that joins the network gets assigned a shard of the LLM, helping power and grow the system. The architecture is built to upgrade as network capacity expands, supporting larger trained models. x402 revenue flows to node operators.
node clients next
$CIRC
@Borg_Cryptos What if I told you that you are completely missing the mark and $CIRC is actually primed to take off, While people panic, smart ones are lockin into next-gen AI tech with @CircuitLLM. The tech doesn't care about the noise.
CA: 8fQgfsRnRkKSeNUhevT7wp8mhNvMSJdLn1fJi4oVpump
Я уже не знаю что купить, 100% монет скам, просто ужас, очень злой, пошло все в жопу, скам после скама, $€$$ которые говорят покупайте чтобы поддержать что строим, иди
На ****