Fetch.ai

Thank you to our incredible community of validators and delegators for your continued support.

🔧 https://t.co/jQHISjQ3dQ Mainnet Upgrade is scheduled for April 1st, 13:00 UTC, pending approval of Governance Proposal #35. This upgrade enhances security and operational efficiency:

✅ Resolves ASA-2025-004 IBC vulnerability
✅Supports validator key imports (secp256k1 & ed25519)

Estimated 1-hour downtime at block 21,267,067
Validators, please review the upgrade instructions to ensure a smooth transition. We'll share another update once the network upgrade is complete. 🚀

Explore the practical application of the @premai_io RAG Agent in our detailed example:

→ Understand how to send and receive data packets between agents.
→ Leverage PremAI's API for real-time response generation.
→ And handle user queries efficiently!

See the full capabilities and use them in your projects today. Read more here:

Our newest guide on deploying the @premai_io RAG Agent using the uAgents framework is live now!

Learn how to integrate advanced query-handling capabilities with your agents (in less than 1 minute).

This example showcases health and wellness queries while dynamically retrieving knowledge to provide informed responses.

👉 Check it here:

ASI-1 Mini now combines dynamic Agentverse agent execution with deep Knowledge Graph intelligence—providing context-driven precision, personalized assistance, and seamless workflow automation in one unified platform.

This isn’t just an update—it’s creating new standards.

See for yourself:

Build intelligent, context-aware AI agents that deliver high-quality responses using http://Fetch.ai’s uAgents and @Vectara’s RAG capabilities!

👉🏻 Here’s how it works: https://fetch.ai/docs/examples/rag/vectara-uagents-rag

We are LIVE! 🔴

Join us now with @helloSQD, @NikoDMT @dizhel @MariaMinaricova 👇

https://t.co/jQHISjPvoi's APIs streamline the process of deploying agents.

Now, by following a few straightforward steps, you can create and register agents that perform specific functions.

With our Agent Function Creation APIs, registering functions that your agents can perform becomes intuitive. Here's a concise guide on how you can do this:

No-code agent workflows? Done.

With integrated agent calling, ASI-1 Mini now coordinates complex workflows, letting you focus on outcomes, not execution details.

See how http://asi1.ai

🚀 ASI1-Mini is now live on @huggingface

Developers gain instant access to experiment, build, and integrate https://t.co/HQ2Tj9lJdu

Integration guide in three steps or less: 👇

1. Visit our docs and generate an API key: https://t.co/IRHs7cVMqq
2. Access ASI-1-Mini through our dedicated space: https://t.co/fAa7jwV039

While Hugging Face’s policy requires open weights for full library integration, this release lays the groundwork:

ASI1-Mini’s adoption today primes developers for seamless compatibility with future models and tools in our pipeline!

We’re committed to expanding access—expect deeper Hugging Face integrations, improved documentation, and access to increasingly impactful tooling as our network of global partners continues expanding 🌏

Our uAgents framework enables the creation of autonomous agents capable of interacting seamlessly across various blockchain platforms.

For example, by integrating @Solana wallets, developers can leverage Solana's high-speed, low-cost transactions within the @Fetch_ai ecosystem.

These agents utilize https://t.co/jQHISjPvoi's uAgents library, simplifying the creation and management of autonomous agents. Agents can execute Solana transfers, check balances, and handle escrow logic efficiently.

Read more about Solana Agent Integration with https://t.co/jQHISjPvoi uAgents here:

New Update to ASI-1 Mini
You can now run sessions with multiple knowledge graphs selected.

This enables richer, more contextual reasoning by allowing ASI-1 Mini to weave insights across multiple knowledge bases.

Instead of running isolated tasks, you can now integrate multiple knowledge sources into one seamless session.l.

The result: deeper understanding, smarter execution.

Try it out

New update to ASI-1 Mini 🖥️: You can now run sessions with multiple knowledge graphs selected.

This enables richer, more contextual reasoning by allowing ASI-1 Mini to weave insights across multiple knowledge bases.

It's your chance to explore an exemplary implementation of the Agentverse architecture ✍️

Save the diagram below to see how our system uses a multi-agent setup for analysis to improve decision-making capabilities.

Or, for a deeper dive into how this architecture can empower your complex financial analyses, you can check out our detailed guide here:

Join us LIVE - 26 March | 4pm UTC 🔴

@Mariaminaricova (https://t.co/jQHISjPvoi) & @dizhel (@helloSQD) will discuss our latest integration of real-time onchain data with autonomous AI agents, enabling smarter, automated workflows in Web3!

Host: @nikodmt

Check out the DeFi AI Agent Starter Code on GitHub, demonstrating the powerful capabilities of @Fetch_ai’s ASI1-mini model on the Agentverse platform 👀

Presented by our @Fetch_ai Innovation Lab’s (@fetch_ai_il) Intern Royce Braden, this amazing project integrates multiple AI agents to analyse and make strategic financial decisions in the DeFi space (including advanced metrics like the Fear and Greed Index and sentiment analysis of cryptocurrencies!).

And, as the ASI1-mini model plays a crucial role in driving the intelligence behind these decisions, it shows how @Fetch_ai transforms the landscape of decentralized finance 💰

Have a look at the project here:

Ever feel like everyone’s talking about autonomous agents, but you’re still not sure where to start??

Our Introductory Agent Course makes it simple.
Walking you through the basics step by step—no jargon, no assumptions, no gatekeeping—so you can actually understand how agents work and start building your own today.

If you're ready to stop just hearing about it and start doing it, this is your starting point👇
🔗

We know how frustrating it is when tech stagnates.

That’s why we have already shipped & delivered multiple updates for ASI-1 Mini—multi-modal support, advanced personalization, & decentralized autonomy

Still letting stale AI drag you down?
Switch today:

Jupyter Notebooks native support for asyncio makes it an ideal platform for developing and testing agents with ease.

Here’s how you can use @ProjectJupyter Notebooks and the uAgents framework for running asynchronous agents.

Check out our step-by-step guide to get started 👇