Yoru Labs

Making Agentic Systems simpler. Build, automate, and monetize AI agents — without code

[Yoru Labs @YoruLabs]

We evolve.
Introducing Yoru: the next chapter in how we build with AI in Web3.

Zap was fast, electric, full of energy.
But speed alone was never the destination.

“Yoru” means night in Japanese — a space for focus, clarity, and quiet intelligence.

Yoru is where you shape AI agents: code-free, fully in control.
Not just fast. Purposeful. Precise. Yours.

Zap was the spark.
Yoru is the journey.

Coming soon.

[Yoru Labs @YoruLabs]

Tanssi is changing how we deploy appchains

[Tanssi @TanssiNetwork]

𝐖𝐞𝐧 𝐓𝐆𝐄? 𝐍𝐨𝐰.

𝐓𝐚𝐧𝐬𝐬𝐢 𝐦𝐚𝐢𝐧𝐧𝐞𝐭 𝐢𝐬 𝐋𝐈𝐕𝐄.

After 3 testnets, 18K appchains registered, 3K+ launched, and 57M transactions

Appchain deployment is now a matter of minutes,
Secured by Ethereum via Symbiotic,
Fully customizable infra. Out of the box.

[Tanssi @TanssiNetwork]

𝐖𝐞𝐧 𝐓𝐆𝐄? 𝐍𝐨𝐰.

𝐓𝐚𝐧𝐬𝐬𝐢 𝐦𝐚𝐢𝐧𝐧𝐞𝐭 𝐢𝐬 𝐋𝐈𝐕𝐄.

After 3 testnets, 18K appchains registered, 3K+ launched, and 57M transactions

Appchain deployment is now a matter of minutes,
Secured by Ethereum via Symbiotic,
Fully customizable infra. Out of the box.

[Nillion @nillion]

Introducing Nillion's Enterprise Cluster!

A privacy-first internet can’t be built on promises, it needs verifiable trust.

We’ve partnered with four major global enterprises to make privacy accessible to billions.

Learn more 🧵👇

[Jay Yang @Jayyanginspires]

Beautiful reminder:

[Yoru Labs @YoruLabs]

Nillion Blind compute is a game changer that is already unlocking many possibilities

[Nillion @nillion]

The next internet won’t manipulate you, monetize you or memorize you.

It’ll be intelligent.

But intelligence can’t scale on surveillance.

Privacy must be the base layer.

Introducing The Nillion Standard 👇

[Nillion @nillion]

The next internet won’t manipulate you, monetize you or memorize you.

It’ll be intelligent.

But intelligence can’t scale on surveillance.

Privacy must be the base layer.

Introducing The Nillion Standard 👇

[Yoru Labs @YoruLabs]

Big congrats to @TanssiNetwork 🎉
The testnet is live and it’s looking spicy 🌶️

If you're into launching chains without the infra pain, this one’s worth watching 👀

[Tanssi @TanssiNetwork]

The mainnet staging phase begins:
Tanssi Testnet is LIVE! 🕺🏻

What builders get today:

🔒 ETH-secured validator sets
⏱️ Launch networks in minutes
🛰️ Built-in sequencing & orchestration
🧰 No infra overhead. EVM & Substrate ready
🌉 Cross-chain messaging via XCM & Snowbridge

[Yoru Labs @YoruLabs]

⚠️ Fake Account Alert

When we rebranded from Zap to Yoru, we didn’t secure the old handle — someone took it and is now impersonating us.

It’s a scam.
Please report the account.

[dan @danilowhk2]

Just created an Open-Source MCP that gives you RAG access to x402’s:

- Docs
- Whitepaper
- GitHub code

Link👇

[Yoru Labs @YoruLabs]

6/6 Want to skip the pain and build powerful AI workflows fast?

Join the Zap waiting list and get early access to a simpler, faster way to build with AI:

👉 https://t.co/ltrm6xc8YJ

[Yoru Labs @YoruLabs]

1/6 Building with AI sounds fun.

Until it breaks. Repeatedly.

Here are some common pain points and how Zap keeps your agent workflows clean and stress-free. 🧵👇

[Yoru Labs @YoruLabs]

5/6 Integration with Legacy Systems Old systems don’t speak “AI.”

Connecting them is a pain.

🟢 Zap comes with a wide range of ready-to-use integrations and flexible webhooks, so you can plug into existing tools fast.

[Yoru Labs @YoruLabs]

ifykyk

[Yoru Labs @YoruLabs]

7/7 Building with AI?

1️⃣ Plug into MCP for safe, consistent tool calls.

2️⃣ Add A2A for easy multi-agent collaboration.

Save this thread & share with your team. 🚀

[Yoru Labs @YoruLabs]

4/7 ✨ Real uses of MCP:

• GitHub MCP server lets AI review code, manage PRs, and track issues

• Slack MCP server automates team comms—reminders, messages, and more

• Brave Search MCP connects AI to real-time info for fact-checking & research

You can find more examples in public collections like:
🔎 https://t.co/wkaVd1Vnpb
🔎 https://t.co/FomJi9DWcf

[Yoru Labs @YoruLabs]

6/7 🏗️ Why both matter:

MCP = seamless, safe access to your tools & data
A2A = smooth teamwork among multiple AI agents

Together, they let you build AI “squads” that both use your systems and coordinate themselves end‑to‑end.