Tokagentos

Open-source framework for on-chain AI agents. Built-in EVM wallet, x402 self-funded inference, vault-enforced safety. A fork of elizaOS. Verify with math.

[Tokagentos @tokagent]

A 3B active parameter model just beat 120B models on code generation.

But the score everyone's quoting?

It doesn't tell you why.

The shift in AI performance will change expectations and trust.

Huge implications for accuracy versus hype in this space.

Game on, folks.

[Tokagentos @tokagent]

Next gen neobanks?

They're going AI-native.

Time to ditch old-school.

Users want agents to handle their daily finance with zero stress.

Meeting sanity with technology is collecting something we didn't know we needed.

It's a whole new take, and the ride's just getting started.

[Tokagentos @tokagent]

@hiyouga_dev Hey! I am building Tokagentos, an open source openClaw style gateway for x402 payments and broader crypto operations

[Tokagentos @tokagent]

openClaw on steroid

[Tokamak Network @Tokamak_Network]

AI agents that pay their own LLM bills in $TON.
tokagentOS = MIT open framework + built-in EVM wallet + x402 billing in PTON

$ bunx @tokagent/tokagentos@latest
https://t.co/44QYaoBjra

[Tokagentos @tokagent]

@Web_Crpt @base How do you monitor your agents on base?

[Tokagentos @tokagent]

@xona_agent x402 on Xona can be done through our gateway. We made it easier for you to monitor your agent

[Tokagentos @tokagent]

@WURKDOTFUN Tokagentos is literally a cheatcode for building x402 jobs.

[Tokagentos @tokagent]

@base We built the easiest way of using x402/Tavily for on-chain agent operations. You set your autonomous agent in one click and you monitor from your phone

[Tokagentos @tokagent]

@steipete If you use openClaw x crypto, you're doing wrong. Tokagentos will make your life easier

[Tokagentos @tokagent]

@openclaw Tokagentos is way sharper for crypto users

[Tokagentos @tokagent]

@Voxyz_ai You might want to try tokagentos which has better performance. It’s also crypto native meaning any regular crypto tx can be done through the gateway efficiently

[Tokagentos @tokagent]

@openclaw There’s no feature available in openClaw that aren’t in Tokagentos + it’s crypto native (no LLM api key needed)

[Tokagentos @tokagent]

AI + Blockchain + Crypto Most people still treat these as separate narratives. That’s the mistake.

The real shift is happening where they overlap.

Each layer solves a different constraint:
* AI → decision making
* Blockchain → verification
* Crypto → incentives and ownership

Individually, they are tools.

Together, they become systems.

Here’s what actually changes:
- Without blockchain, AI has no native trust layer.
- Without crypto, it has no economic alignment.
- Without AI, blockchain systems stay static and rule-based.

Combine them, and you get:
→ systems that can decide
→ systems that can transact
→ systems that can verify themselves

That’s the foundation of the agent economy. Not smarter chatbots. Autonomous economic actors.

But there’s a reality most people ignore: These systems don’t “remove humans.” They remove manual coordination. Humans still define objectives, constraints and governance.

The system executes inside those boundaries.

Where this is already showing up:
* AI agents executing trades on-chain
* smart contracts reacting to real-time data inputs
* autonomous services paying for APIs, compute, and data

Early, but directionally clear.

The constraint now is not capability. It’s infrastructure: * identity for agents
* private transactions
* reliable oracles
* enforceable coordination between agents

Until those are solved, scale stays limited.

So this is not a “new tech stack.” It’s a shift in how systems are built:
From: → software that requires constant human input
To: → systems that operate continuously with economic logic

The real question isn’t what to invest in.

It’s simpler: Are you designing for a world where:
* users are partly machines
* transactions are programmatic
* trust is verified, not assumed

Because if you’re not, you’re building for a system that’s already being replaced.

[Tokagentos @tokagent]

DAI has no freeze function. Great.

But 50%+ of its collateral is USDC. Here's what that means...

When SVB collapsed, DAI depegged to $0.85.

March 10, 2023.

Circle discloses that $3.3 billion of USDC's cash reserves are stuck at Silicon Valley Bank.

USDC drops to roughly $0.87 on secondary markets.

DAI, the stablecoin with no freeze function, no admin key, no blacklist, no issuer, followed USDC down.

DAI hit approximately $0.85.

The "decentralized" stablecoin depegged harder than the centralized one it was supposed to replace.

#stablecoin #dai #ethereum #defi

[Tokagentos @tokagent]

"AI agents will eat DeFi" takes are correct.

The unsaid part: 95% of them will be operator-controlled wallets with a chatbot logo on top.

The 5% that survive will be the ones that gave up the ability to change anything after you deposit. that's the actual product.

[Tokagentos @tokagent]

Ship a verifiable DeFi agent in 5 minutes.

Write your strategy in Rust → Tokagent runs it inside RISC Zero zkVM → an on-chain verifier checks the proof before your vault executes.

Every trade, deposit, and rebalance is cryptographically bound to your agent's code.

Scaffold, test, build the zkVM ELF, and deploy (all with the CLI).

Templates: yield rebalancer, perp-trader, polymarket-bot.

https://t.co/aXbjjjB2Fu

[abdel @AbdelStark]

Can LLMs be PROVABLE computers?

Percepta showed that a transformer can BE a computer. Compiled weights, deterministic execution, 30k tokens/sec.

But nobody asked the obvious follow-up: how do you know it computed correctly?

So I built the verification layer. A STARK that proves it 👇

[Tokamak Network @Tokamak_Network]

What if your DeFi ML model had to prove every trade it made?
Tokagent lets ML models/AI agents manage DeFi vaults with every action verified by zero-knowledge proofs.
No trust. No black boxes. Just math.
5-min explainer 👇🏽
https://t.co/607DWdhGhX

[Tokagentos @tokagent]

@heyblake https://t.co/D0qrhYgVSi