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- #15: 42 AI Doctors, One Tweet, $9M Memecoin – All Powered by Agents
#15: 42 AI Doctors, One Tweet, $9M Memecoin – All Powered by Agents
AgentPulse: Your Weekly Dose of AI Agents News.

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In today’s Agent Pulse:
The top AI Agent news you shouldn’t miss
Top AI agents Leaderboard
Featured AI Agents
Free courses to level up your AI agent game
Agents Protocols.
💸 One Tweet → $9M Volume Memecoin with No VCs or Presale
📢 Top Stories This Week
A new hospital in China has launched with no human doctors, instead operated entirely by 42 AI agents trained for diagnosis, treatment, and patient interaction. The AI doctors can reportedly handle up to 10,000 patients per day, covering over 30 specialties—from cardiology to dermatology—marking a bold step in agent-powered healthcare.
Amazon Web Services (AWS) debuted Amazon Q Developer, an agentic AI coding assistant, now in preview on GitHub Marketplace. Q Developer connects to a developer’s repo and automates workflows: it can generate code from natural-language issue descriptions, perform code reviews, and even migrate Java code directly in GitHub. Effectively a “full-stack developer” agent, it uses GitHub Actions for quality/security checks, aiming to accelerate feature development and code hygiene.
Allvue (investment software) unveiled its first Agentic AI Platform for alternative investments, along with Andi, a browser-based AI assistant for its Credit Front Office suite. Andi acts as an in-app knowledge agent, guiding users through product workflows and docs, and will soon support advanced tasks (e.g. querying portfolio data, compliance rules, insights). This enterprise tool (select rollout now, broader 2025 expansion planned) promises to speed tasks like navigation and analysis across private equity/venture fund workflows.
Hugging Face published Open Computer Agent, a free cloud-hosted “computer-using” agent demo. OCA runs a Linux VM with apps like Firefox/Google Maps and can complete simple tasks from text prompts (e.g. finding a location by using Google Maps in the VM). It’s essentially an open, web-based analogue to OpenAI’s Operator. TechCrunch notes OCA is intentionally rudimentary (slow, error-prone with complex tasks like solving CAPTCHAs) – its goal is to showcase how accessible open AI models can power agentic workflows rather than to be a polished product.
We're launching Computer Use in smolagents! 🥳
-> As vision models become more capable, they become able to power complex agentic workflows. Especially Qwen-VL models, that support built-in grounding, i.e. ability to locate any element in an image by its coordinates, thus to
— m_ric (@AymericRoucher)
3:58 PM • May 6, 2025
Informatica’s AI Agent services announced new agentic AI offerings on its Intelligent Data Management Cloud. Its AI Agent Engineering service provides a unified, no-code environment to build and orchestrate multi-agent AI systems across enterprise data ecosystems (AWS, Azure, Databricks, Snowflake, Salesforce, etc.). It also launched CLAIRE Agents, autonomous AI assistants for data management (ingestion, quality, lineage, etc.), built on open standards like the Model Context Protocol (MCP) to integrate agents seamlessly. These tools aim to let data teams automatically execute complex workflows across silos, improving productivity and data accuracy at enterprise scale. (Source)
Startup Adopt AI (US/India) emerged from stealth with a $6M seed round (led by Elevation Capital). Its platform provides no-code agent-building tools so businesses can “agentify” existing applications in hours, rather than months. One product, Agent Builder, automatically learns an app’s workflows and generates a conversational agent to handle them. Adopt AI is targeting SaaS and B2C companies (financial services, healthcare, etc.) that want to add AI-driven assistants to complex customer or enterprise apps.
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🚀 Agents Leaderboard
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🥇 ACMEBOT: Automated content creation AI agent for businesses
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🥇 ACMEBOT: Automated content creation AI agent for businesses
🥈 TheLibrarian.io: WhatsApp AI Personal Assistant workflows
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✨ Featured Agents
TensorStax: Autonomous AI Agents for Data Engineering
TheLibrarian.io: WhatsApp AI Personal Assistant
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Agents TOP Protocols
MCP (Model Context Protocol): Standard way for tools to share context and data with AI models in both directions, so agents get what they need in real time. Introduced by Anthropic.
A2A (Agent‑to‑Agent Communication Protocol): Common message format that lets agents talk, discover each other’s abilities, and coordinate tasks securely. Introduced by Google.
ACP (Agent Communication Protocol): A simple, consistent structure for agents to call and control each other, making multi‑agent workflows easier. Introduced by IBM under BeeAI project.
ANP (Agent Network Protocol): A peer‑to‑peer framework for agents to verify identities and connect directly—think HTTP, but for AI agents. Introduced by Gaowei Chang
AGORA: A flexible meta‑protocol that picks the best way (structured calls, natural language, or code) to let large networks of agents collaborate without a central hub. Introduced by researchers at the University of Oxford and Eigent AI.
💸 One Tweet, $9M Volume: I Launched a Memecoin with No VCs or Presale
A wild live experiment in no-code launches, Web3 chaos, and open meme economics.
$DIRA + AgentHub
— OP (@WishMasterUA)
1:38 PM • May 14, 2025
No presale. No VC backing. Just one Twitter post and a smart contract deployed via Believe.app. Within 12 hours, $DIRA did over $9M in volume, hit $2.5M+ Market Cap, and ranked among the top 10 trending tokens on Solana.
This was a live experiment to test how far a simple, no-code launch can go on a community-first platform. What stood out?
→ I had zero control after tweet — yet the memecoin took on a life of its own.
→ Believe claims to split fees with creators. Based on on-chain activity.
→ The entire meme economy is shifting from insiders to open participation.
I’m still unpacking what this means for builders, creators, and meme culture — but one thing’s clear: launching a memecoin for web2 projects has never been this easy (or wild).
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