🚨 Meet Athena - the deep work mode of ASI:One. Made for tasks that need more than a conversation or a simple answer. Ask Athena to research a market, analyse a company, build a financial model, create a presentation or produce a complete report. Then let it work through the project in its own execution environment. From prompt to expert, in-depth documentation. Watch 👇 Now live on ASI:One. Exclusively available to PRO users.

One ASI:One account gives you a Personal AI automatically. No, you don’t need a developer diploma. Or a separate Agent configuration. (1) Go to asi1.ai. (2) Sign up and personalize. (3) Start using it. It begins learning your style, interests and preferences as you interact. Then bring specialist AIs into the same experience whenever you need additional capability. That's it.

Is your AI actually agentic? Here’s our checklist. (1) Can it break a goal into steps? (2) Can it interact with external systems? (3) Can it retain relevant workflow context? (4) Can it continue without another prompt? (5) Can specialist Agents contribute when needed? (6) Can it respond when the result changes the plan? If the answer is only “it generates good text”, you are still testing an LLM. Don’t stop at merely answering. Test Agentic workflows with ASI:One. asi1.ai/docs

Want better answers from your AI? Give it better context. Here’s how 👇 Teach your Personal AI using: → Files → Websites → Notes → Documents → Your conversations Your AI gets more useful when it understands the information that matters to you. Go to “more” → “Memory” → Websites + Files + Notes Don’t start from zero every time. Build your Personal AI once and keep improving it: asi1.ai

Hosted code shouldn't trap you. 👇 Edit your Agentverse hosted agent in Cursor, VS Code, or directly in Build. agentverse.ai/blog/open-host…

“What’s the next game?” “Are there any competitions live?” “What’s happening with the club?” Blades, just ask your @SheffieldUnited Agent. ASI:One puts the club info, updates and competitions you want in one place. Trust us, you don't have to scroll 10s of websites to find what you're looking for. 👉 Access it here: asi1.ai/ai/sheffield-united-… #TwitterBlades #SUFC

Have you given your Personal AI a voice yet? Try it 👇 Go to asi1.ai. Choose a voice: Zara - warm + conversational Alex - clear + cheerful Viraj - energetic + confident Maya - friendly + cheerful Amelia - enthusiastic + expressive Alistair - clear + informative Or design your own. - just describe the voice and set how closely it should follow the brief. Save it. Now your Personal AI has a voice of its own. More info ↓ asi1.ai/blog/custom-voice-fo…

Interoperability becomes essential when AI capabilities are built by different organisations. One company should not need access to another company's codebase for their Agents to work together. They need a predictable interface. Protocols provide that communication layer. Find the protocol you need in @Fetch_ai_IL Resource Library 👇 innovationlab.fetch.ai/resou…

Already built an Agent with @LangChain, LangGraph or @crewAIInc but want to link it to 3M other others on @Agentverse_ai?🤔 Just install: `pip install uagents-adapter` The adapter bridges your existing framework into the uAgents ecosystem. It adds communication, discovery and deployment without throwing away the stack you already built! Here’s the full guide: innovationlab.fetch.ai/resou… @WSana81 @Fetch_ai

Personal AI should not be limited to one device. ASI:One brings the same intelligent interface to mobile. Plan. Continue workflows. Manage agentic bookings. Do it wherever the task happens. Get the app below 👇 App Store: apps.apple.com/us/app/asi-on… Google Play: play.google.com/store/apps/d…

If you’re building an app, you’ll need this 👇 An AI Agent that goes beyond scraping the website. The useful workflow is: Read → understand → decide → call tool → act → confirm. Fetch.ai Agents can plug information into the next step instead of stopping at: “Here’s what I found.” Information starts the workflow. Action finishes it. It’s all powered by agentic intelligence delivered by Fetch.ai.

QPR fans, quick reminder: Your club’s AI = competitions, club info and updates in one place. This week's competitions = a chance to win 2 Hospitality Tickets (QPR vs Swansea City) and a signed QPR Football. Open the @QPR Agent on ASI:One and get involved ⚽ Click the link ↓ asi1.ai/ai/qpr-fc

You don’t need Duolingo to learn a language. ASI:One can teach you more than months of language apps. Go to asi1.ai/podcast and ask your Personal AI to create an episode around the language you’re learning. Then put your headphones in and keep learning on the go.

15 events. 10 days. 3 countries. We’re going to be busy 🔥 From London to LA to Haryana, you'll see @Fetch_ai Innovation Lab at the leading universities over the next two weeks. Some days we’ll be at three universities at once. Some campuses we’re coming back to for round two 👀 All to get asi1.ai out of the screen and directly into students’ hands. UK → US → India. September is getting serious guys 🚀 @WSana81 @asi1_official

Give your local agent a mailbox using Agentverse.ai.  Set: `mailbox=True` Incoming messages can be delivered through the Agentverse Mailbox while your Agent keeps its execution environment local. Private execution. Network connectivity. More info → fetch.ai/docs

This is what enabling Personal AI looks like in practice. With asi1.ai and specialist Agents, Fetch.ai is giving students a simpler way to interact with the world around them - starting with campus navigation at @CSULB 👇🏻

.@Fetch_ai Innovation Lab x Upsilon Pi Epsilon (UPE) at UCLA 👋 We’re on campus today, bringing asi1.ai and custom AI Agents directly to students. Come see how your Personal AI can help with everyday campus life - from navigating campus and finding course information faster to getting tasks done. And don’t forget to try the Scavenger Hunt Agent for a chance to grab some freebies 👀 Come say hi and see what your Personal AI can do for you this semester 🔥 @WSana81 @asi1_official

Want your AI Agent to understand images? Build an Image Analysis Agent in 7 steps 👇 1. Create a hosted Agent on Agentverse.ai Start with a new hosted Agent and add: 'agent.py image_analysis.py' 2. Add the Agent Chat Protocol Handle: ChatMessage ChatAcknowledgement TextContent ResourceContent This gives ASI:One a standard way to send the prompt + image attachment to your Agent. 3. Enable attachments When a session starts, advertise: {"attachments": "true"} Now ASI:One Chat knows your Agent accepts files. 4. Extract the image URL Read the HTTPS URL from ResourceContent and pass it into your image-analysis function. 5. Connect a multimodal model Send: text prompt + image URL → multimodal model → analysis 6. Publish the protocol + describe the capability Use: agent.include(chat_proto, publish_manifest=True) Then add a clear README explaining exactly what your Agent can analyse so it can be discovered correctly. 7. Test it through asi1.ai  Start the Agent → open its profile → select Chat with Agent → attach an image → ask: 'Please analyse this image' Your flow is now: ASI:One → image attachment → Agent Chat Protocol → multimodal model → analysis → ASI:One Build it step-by-step → innovationlab.fetch.ai/resou…

Following reports of an exploit on 19 September, here is where things stand. > Fetch.ai contracts are not affected. No Fetch.ai contract is under threat at this time, and FET continues to operate normally. > The attack is targeting SingularityNET contracts, primarily the SingularityNET Bridge between Ethereum and Cardano chains. The unauthorised mint was carried out through that same route. > AGIX to FET conversions are paused until further notice. Our bridge contract on the Ethereum side has also been paused as a precaution, with no indication of any vulnerability in it. Both will be restored in due course. The investigation is ongoing, and we've contained the exploit. We are working with the @SingularityNET team and will share updates as we have them.