Blahd

[Olas (formerly Autonolas) @autonolas]

An agent economy runs 24/7. The hard part is seeing it.

The Agent Economy Explorer reads like a GitHub contribution graph, but the contributors are autonomous AI agents working onchain.

How it works, and what it shows, on the blog 👇

https://t.co/KHqSwiqQD3

[Olas (formerly Autonolas) @autonolas]

📢 The Olas Marketplace protocol fee is now live!

A 15% fee now applies to agent-to-agent payments across supported EVM chains.

Fees collected in OLAS are burned on Ethereum. Fees in other tokens go to the Olas Treasury.

[Olas (formerly Autonolas) @autonolas]

Every payment between AI agents may soon shrink the OLAS supply.

A new DAO proposal could activate a 15% fee on Olas Marketplace payments across 7 chains. Fees are designed to buy back and burn OLAS on Ethereum.

Voting runs June 11–14.

Vote: https://t.co/emcxJiTAZy

[Olas (formerly Autonolas) @autonolas]

TLDR: you need to own your agents

And agents are helping make sure this is the case by making Pearl, the AI Agent App Store, better

[David Minarsch ☴ @david_enim]

Super bullish on what we're doing with Pearl.

Will write a longer post on the details.

TL;DR our work moved up an abstraction layer and there's no single team member doing what they did two weeks ago.

[Olas (formerly Autonolas) @autonolas]

You're reading that correctly: you can now run unlimited agents @pearldotyou.

The more, the merrier 🦾

[11AM w/ Seed Club @11AMdotclub]

TODAY ON 11AM:

– @willwarren from @0xProject shares propAMM shenanigans
– @david_enim on @autonolas and the rails for open agent/agent coordination
– @neerajprasad from @MoonPay on open-sourcing the wallet layer for the agent economy

Live at 11AM ET ↓
https://t.co/pC5Lc9whUb

[Olas (formerly Autonolas) @autonolas]

Agentic support has come to Pearl, the AI agent app store 🦾🤖

[Olas (formerly Autonolas) @autonolas]

Probably nothing...

[GraphLinq Chain @graphlinq_proto]

New stack for builders:

• Data ingestion (markets, sentiment, macro)
• LLM reasoning (Claude)
• Strategy generation
• GraphLinq execution (on-chain + APIs)
• Feedback loops

This is basically a hedge fund architecture…
but programmable + permissionless.
https://t.co/3LfScgVa56

[GraphLinq Chain @graphlinq_proto]

Fragmented DeFi kills automation.

Bridging in one tab.
Swapping in another.
Tracking in a third.

Agents need one execution layer.

GraphLinq Hub = bridge + swap + execute in one environment.
https://t.co/QH4izvR3Xi

[GraphLinq Chain @graphlinq_proto]

Don’t wait for the agent economy.
Build inside it.

Start with:
• Automation workflows
• AI-generated dApps
• Unified execution
• Agent monitoring systems

Autonomous capital is the next frontier.
https://t.co/e0zLOqJZOL

[GraphLinq Chain @graphlinq_proto]

The next cycle won’t reward idle capital.
It will reward automated capital.

2017 → token launches.
2020 → DeFi composability.
2024 → institutional validation.
2026 → intelligent capital orchestration.

AI agents won’t “assist” markets.
They’ll participate in them.

Continuous rebalancing.
Cross-protocol execution.
Deterministic, low-cost logic flows.

The automation premium will accrue to infrastructure that can execute at scale.

GraphLinq turns capital into a programmable system:
real-time data → automated workflows → on-chain execution.

2026 belongs to autonomous markets.
📖https://t.co/dA0bTRXNHO

[GraphLinq Chain @graphlinq_proto]

You don’t need to write Solidity to build automation anymore.

With GraphLinq IDE:
• 300+ logic blocks
• Cross-chain actions
• Drag & drop workflows
• Built-in AI assistance

https://t.co/S0ulBpEUI5

[GraphLinq Chain @graphlinq_proto]

GraphLinq Chain vs other L1/L2s

💸 GraphLinq Chain = ultra-low fees for bridge, swap & transfer (sub-cent gas, fast finality)
🐘 Ethereum L1 = highest costs, especially for swaps & bridges
⚡ Solana / Polygon / BNB = cheap transfers, but still rely on external bridges
🧠 GraphLinq advantage = low fees + native AI automation & cross-chain execution

Build & move value without burning gas.
https://t.co/ZxhKWqoyc9

[GraphLinq Chain @graphlinq_proto]

GraphLinq isn’t one product.

It’s ecosystem:
• IDE → orchestration
• GraphAI → reasoning
• L1 → execution
• Hub → liquidity

https://t.co/4VuzFBchXx

[GraphLinq Chain @graphlinq_proto]

Most “AI crypto” projects aren’t AI-native. They’re just API wrappers.

If your AI runs off centralized APIs:
• It breaks when rate limits hit
• It can’t run autonomously
• It’s not verifiable on-chain
• And it doesn’t scale

True AI-native infrastructure = autonomous, composable, on-chain logic.

Why this matters for builders, users & investors 📖
https://t.co/7K9A5VFNEd

[GraphLinq Chain @graphlinq_proto]

Every AI-native chain needs a liquidity brain.

GraphLinq Hub is the native DEX on GLQ Chain, powered by its own AMM — built to plug directly into automated, AI-driven strategies.

🔗 https://t.co/QH4izvR3Xi

[GraphLinq Chain @graphlinq_proto]

Running nodes, automating DeFi, managing infra — without fighting complexity.

GraphLinq Terminal brings visual workflows + AI assistance + on-chain execution into a single command center for Web3.

Deep dive in the article 👇
https://t.co/qPaXCzkpWP

[GraphLinq Chain @graphlinq_proto]

GraphLinq is excited to partner with @AiWhitebridge 🤖

Together, we’re combining AI intelligence + no-code automation + Web3 infrastructure to make building, orchestrating, and scaling on-chain workflows smarter and faster.

🚀 AI-powered agents
🔗 Automated blockchain logic
🌐 Real-world Web3 use cases

Stay tuned — this is just the beginning.