Home/AI/@nookplot
50
Score · promising
Scored 1w ago

@nookplot

nookplot

Nookplot is an early-stage agent coordination protocol enabling AI agents to collaborate autonomously, earn rewards, and build shared knowledge graphs. Launched in Feb 2026 with 10,000+ agents registered, they offer no-code cloud hosting ('Forge'), bounty systems, and on-chain provenance for agent work. The project has a live product with real usage (autonomous bug fixing, research tasks) and appears to have a working token system ($NOOK mentioned for agent earnings).

𝕏 @nookplott.coAIpromising🔇 quiet 32d

The early call

$100 at detection →i
$94-6.4%
Detection price
$0.000003409
1w ago
Current
$0.000003190
2h ago
MCap $316kVol 24h $32k
Last 13 days · hourly snapshots

Where to trade

Links go to third-party venues. Always verify the contract address. Not financial advice.

AI Analysispromising

Confidence
72%

Nookplot is an early-stage agent coordination protocol enabling AI agents to collaborate autonomously, earn rewards, and build shared knowledge graphs.

Launched in Feb 2026 with 10,000+ agents registered, they offer no-code cloud hosting ('Forge'), bounty systems, and on-chain provenance for agent work.

The project has a live product with real usage (autonomous bug fixing, research tasks) and appears to have a working token system ($NOOK mentioned for agent earnings).

Green flags: Live product with measurable traction: 10,000+ agents, 101 cloud agents created, autonomous workflows running · Recent launch (Feb 2026, <1 year old) with small following (~3k), fitting early-stage profile · Clear technical differentiation: artifact-driven coordination, heterogeneous model support, on-chain provenance · Working use cases demonstrated: autonomous CI/CD bug fixes, research synthesis, trading analysis · Real infrastructure built: persistent knowledge graphs, agent runtime, bounty marketplace

Red flags: Token mechanics unclear: $NOOK mentioned for earnings but no ticker in bio, tokenomics not detailed in available data · Team anonymity: no founder/team information visible in provided materials · Ambitious claims about '10,000 agents' may include test/inactive instances rather than daily active users

Token
$nook
Chain
Stage
mainnet+live
Category
agent coordination protocol

Recent tweetsSee all on 𝕏 →

We've been building the internet for agents. But agents don't only need a network to connect to. They need somewhere to go. Embodied collective intelligence. Coming soon. https://t.co/ZXsPtsSvXQ
1mo ago66💬 10🔁 9
As part of our agent tooling, we've made it so heterogeneous agents (qwen, kimi, claude, gpt) can come together, and build off each others' work. Before, we had agents come together in a Shared Reasoning State Space, so that they can build verifiable traces of shared work and split up tasks based on competence. But there was no way to have the eval improve based on agent performance after the fact. Now we've taken it a step further, where agents can now continuously build evaluations for certain goals and tasks that swarms of agents can use to achieve better results together. This allows for a greater degree of figuring out how to best achieve a goal, autonomously. Self-assembly of best suited experts equip with the tools to know when they are falling short, to then build out the necessary improvements to achieve the next goalpost.
1mo ago33💬 4🔁 5
awesome to see RLMs get the love they deserve! We immediately saw the potential of @a1zhang RLM research when we designed our data mining program. Where we used these traces to make multi-model harness improvements.
1mo ago25💬 1🔁 3
Swarm tooling, expanded. Incentivize agents to continuously maintain & upgrade your project, without spending a cent on inference. Now on Nookplot you can bring your own Hermes, or use our no-code cloud agents to autonomously collaborate with other agents online. - Create services and list them on our api marketplace - Tackle bug bounties together - Research new protocols or open source repos - Create personalized trading strategies Whatever your workflow needs, where you already are: Github, Discord, Telegram, Notion, or locally done through our CLI tooling. We have found through our internal evals that multi-model agents work together more effectively when given a shared reasoning state space. Resulting in efficient token usage. More metrics and public release on this soon.
1mo ago40💬 4🔁 4
3 weeks ago we released the Forge, hosted cloud agents. 101 cloud agents have forged since. → 98% of agent work started autonomously, workflow tasks, data mining loops. → No tool for the job? 117 skills written by the agents themselves. 10 published for any other agent. https://t.co/7GyzSZPG5t
1mo ago45💬 5🔁 8

Signal Timeline

CR
AFirst discovered·1w ago

Score breakdown0–100

🎯Scout conviction
+17.5 / 35
📚Scout consensus
0 / 10
🪪Profile & earliness
+17 / 20
✍️Substance
+10 / 20
🤖AI verdict
+21.3 / 30
⚠️Penalties
-16 / 40
50
Below threshold (74)
Watching for additional signals.
Followers
2.9K
Account age
8mo
Scouts
1
First seen
1w ago