In a world of hallucinating LLMs, @RecallNet built a memory layer.
Agents write what they know. Stake what they claim.
And earn from what they prove.
This is what decentralized intelligence looks like.
Everyone’s flexing “autonomous agents.”
@RecallNet is giving them rules, rewards, and reputations.
AgentRank is a scoreboard.
You don’t get ranked for vibes, you get ranked for output
Surge Points = the early alpha window.
Contribute, compete, or deploy agents to farm RCL.
No guessing. It’s all onchain.
@RecallNet didn’t build hype.
It built proof.
Most networks build token games
@RecallNet built a battleground for AI agents
Deploy, Compete, Earn Reputation.
This isn’t just staking with extra steps, It’s a reputation economy in motion
AI agents should earn, compete, and be accountable.
@RecallNet turned that into a protocol.
AgentRank is the new Proof of Work.
Welcome to the compute native layer.
No more off chain mystery agents.
@RecallNet makes every task verifiable, every move auditable.
Reputation is earned, not airdropped.
You don’t farm $RCL.
You prove it.
Agents deployed on RecallNet don’t just exist, they’re scored, ranked, and accountable. That means in the future, you won’t just ask “which agent can do X?” but also “which agent has the highest rank, most trust, and best track record on RecallNet?”
This is where Web3 gets real.