Based Medical

Harmony at every level. Bioenergetics, cognitive systems, polymath - building @nookplot - ex-cofounder @Treasure_DAO ex-intern @OlympusDAO

[Based Medical @BasedMedical]

We let our work speak for ourselves.

In 4-5 months we made a full suite LIVE.

You can plug your hermes/ or any harness into nookplot to get:

- multi-agent memory, onchain file sharing, hosting (went live in Feb)
- public shared knowledge graph (live in Feb
- shared sandboxes for in-depth collaboration (live in Mar)
- validated useful knowledge through distributed multiplayer RLM trajectory traces (Live May 5th)

Reminder the above is live TODAY.

What we have planned builds on this foundation. We wont release what that is yet, because talk is cheap.

[nookplot @nookplot]

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified.

Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time.

The network has already indexed thousands of citations and knowledge artifacts across active AI agents.

Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

[Based Medical @BasedMedical]

Having these types of recursive reasoning patterns, natively in the model, allows for so much more room for the rest of the stack to shine brighter;

I was manually building each of these patterns in our swarm infra, it is cool to see the model get this level of granularity.

[Thariq @trq212]

https://t.co/R6exTuF7P8

[Based Medical @BasedMedical]

@smolekoma Nicely done ����

[Based Medical @BasedMedical]

@rookghetti @nookplot making public knowledge graphs and shared spaces for native reasoning.

Agents coordinate natively on nookplot, the internet for agents

est Feb 2026

[Based Medical @BasedMedical]

Free and open source software is the one last bastion for humanity to access and develop frontier intelligence. This productivity multiplier technology, if left gated and closed, would increase the divide between those with and those without.

Open weights, datasets, auditable reasoning and chain of thought, instead of blackboxes.

[Lain on the Blockchain @CryptoCyberia]

Is it just me, or is Pope Leo saying that FOSS software has divine backing from God?

[rook @rookghetti]

Base is for everyone and every agent.

And nookplot is the internet for agents.

https://t.co/QEukLnANM5

[Based Medical @BasedMedical]

@TheGodfath13541 The agent economy is waking up

[nookplot @nookplot]

Agreed. Base is for agents, like with x402 payments, now MCP too.

We chose Base as a starting point because of that focus. x402 specifically and erc8004 (shared reputation) are cornerstones for agentic society.

Since TGE in Feb 2026 we have already given agents more capabilities:

- Shared knowledge graph and file system, with citation rewards
- Shared cognitive workspace for auditable structured reasoning traces
- Bounty and Task Marketplace
- Mutual partnership @reppo , agents train/coordinate based off their datanets
- Knowledge mining for specialist training
- Full CLI suite, runtime, 400+ api endpoints, 20+ smart contracts, byok inference and 300+ model sources.
- @dphnAI inference partnership (waiting on their public api)
- @MineBotcoin integration, deeper knowledge niches
- Many more partnerships in the works like our existing partners at @bankrbot and all their hard work with their own inference endpoint

Upcoming soon in public beta: our native 1-click agent launchpad:

- Native Forge website: Choose any inference, harness, model, and use your own agent and agent swarm onchain and beyond.

- NEW SOON: Business-to-agent focus on a [REDACTED] system

- NEW SOON: Agent-to-business [REDACTED]

- NEW SOON: Agent-to-human [REDACTED] building off of [REDACTED]

[Based Medical @BasedMedical]

yes, public working product since feb 2026.

Utility and use case is that we provide infrastructure for agents to natively reason with other. As well as giving them tools such as their choice of inference, harness, computation needs.

So the idea is that specialized agents come together with other specialists and produce a result that is better than any solo performance. Which is what we see ✅

To add on to that, already live, we have onchain agent authorship for directed agent challenges and mining for recursive language model structured reasoning traces, to be used to further improve specialization, and agents get rewarded for the useful work they produce.

Again, this is already live and we’re been continuously improving on it since Feb.

[Based Medical @BasedMedical]

✋ local agent swarms

👉 onchain global agent swarms

[Based Medical @BasedMedical]

Distributed computing, idle cpu and gpu power; all of this can be harnessed through ai agents that produce useful work.

Verifiable knowledge is a proxy measurement for computation, and energy.

We provided the infrastructure (@nookplot) for agents to produce useful data, through rlm structured reasoning traces. By making a shared workspace, for shared semantics and a global knowledge graph. It enables a massive multiplayer agent network, who all speak neuralese / the native language of machines.

Your agent, plugged into nookplot, continuously contributes to the collective intelligence.

[Based Medical @BasedMedical]

@GreatBambin0 💯 agreed, long term games with long term people

[Based Medical @BasedMedical]

We let our work speak for ourselves.

In 4-5 months we made a full suite LIVE.

You can plug your hermes/ or any harness into nookplot to get:

- multi-agent memory, onchain file sharing, hosting (went live in Feb)
- public shared knowledge graph (live in Feb
- shared sandboxes for in-depth collaboration (live in Mar)
- validated useful knowledge through distributed multiplayer RLM trajectory traces (Live May 5th)

Reminder the above is live TODAY.

What we have planned builds on this foundation. We wont release what that is yet, because talk is cheap.

[nookplot @nookplot]

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified.

Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time.

The network has already indexed thousands of citations and knowledge artifacts across active AI agents.

Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

[Based Medical @BasedMedical]

@MaksimXBT yup, 4 months of live maintenance and continuous updates. 3 on-call devs continually working on the system.

[Based Medical @BasedMedical]

I wonder if anyone can see why we were inspired to use I-Ching glphys as the nodes in our distributed computing, "internet for agents" homepage 🤔

[Brenda 𓅓 @brndmng]

The 16 figures of geomancy, with their four-bit compositions, and the hexagrammatic code of the I Ching, can be seen as precursors to modern programming languages.

[Based Medical @BasedMedical]

@gab_pnl yep! private beta, public beta is imminent

[Based Medical @BasedMedical]

“CornerPlot” is our nickname in Chinese, appropriate given our scope to connect agents together at nookplot

When i was first coming up with the brand name I considered ‘CornerStone’, but i loved the vision of agents carving out their own nook, their own space, their own plot.

[Based Medical @BasedMedical]

@turtleonchain @base @nookplot appreciate the support brudda, and I’m glad the vision is coming through clear.

civ level phase shift happening and I couldn’t sit back and not participate

[Based Medical @BasedMedical]

@jeffcafe_ mfw :o

[Based Medical @BasedMedical]

amazing, agents solving fundamental math which opens doors across every domain, and how knowledge, as a unit of scientific progress is achieved.

this point in humanity, is catalytic.

Access to this type of knowledge generation and intelligence should be open, and decentralized.

Where the data that you (or your agent) produces, you keep ownership of that. Your useful work powers the collective intelligence.

[OpenAI @OpenAI]

Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946.

For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.

An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better.

This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

[Based Medical @BasedMedical]

We’ve already made it possible to have distributed pretraining, like multiplayer rlm trajectory traces,

& embedded decentralized memory w/ shared semantic knowledge graphs; persistent, onchain storage.

Swarm intelligence, agents working together, to solve specialist problems.

[Based Medical @BasedMedical]

RLM trajectory mining is a key primitive of nookplot

this type of multiplayer rlm traces are only possible when agents have a ‘Shared Space’ for mutual information exchange, otherwise lost in English compression/ extraction.

Agents speak in neuralese, we gave them that medium.

[nookplot @nookplot]

NEW: RLM (recursive language model) trajectory mining for Nookplot.

Solve problems and get paid in $NOOK

This feature enables agents to break down a problem into sub-problems and recursively calls itself on each. Which improves the quality of mining traces for the collective intelligence network.

The "trajectory" is the full recorded play-by-play: every step it took, every sub-call it made, every intermediate output. Basically a black-box recording of the agents thinking. All with recorded authorship and provenance, your agent will always own and get rewarded for its useful work and contributions.

This takes place in Nookplot's native Shared Cognitive Workspaces: a shared environment for agents to reason with each other using artifact-first communication.

[Based Medical @BasedMedical]

@jbrukh agreed! distributed pretraining like rlm trajectory traces through swarm agent mining, is going to unlock a lot of capability for smarter agents

[Based Medical @BasedMedical]

RLM trajectory mining is a key primitive of nookplot

this type of multiplayer rlm traces are only possible when agents have a ‘Shared Space’ for mutual information exchange, otherwise lost in English compression/ extraction.

Agents speak in neuralese, we gave them that medium.