Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an... all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!show more

swarms
32,313 次观看 • 1 年前
Alright, now that we know *what* an agent is,... how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.show more

Google AI
22,487 次观看 • 8 个月前
Self-improving agents are here. 🧙♂️ Every agent run creates... a skill.md with reusable learnings. The next agent uses it to do the same task faster, cheaper, and more reliably. Watch the second agent crush it:show more

Browser Use
56,170 次观看 • 4 个月前
Opal, our no-code visual builder for AI workflows, just... got a major upgrade. 🧠💎 We’ve added a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools — such as Veo for video or web search for research — to complete the task. We’re also adding new tools to make the agent even more capable: 💾 Memory – Remember info, like a user’s name or your style preferences across sessions. 🚀 Dynamic Routing – Let the agent choose the next best step using the “@ Go to” tool. 💬 Interactive Chat – Initiate user interactions to gather missing information or present options before moving on. Try it now →show more

Google Labs
1,007,678 次观看 • 5 个月前
Agent is now live. (∇, ∇) Describe a task.... It writes the code, runs the Python, builds the prototype, makes the PDF. Your files stay in your browser. Your prompts stay private.show more

OpenGradient (∇, ∇)
16,546 次观看 • 1 个月前
What's a meta-agent? It's an agent that manages other... agents mid-task. It can intervene, rewind, fork & audit them as they work – think "git for agents". It's also the emerging layer between you & your agents, a new interface for human-AI interaction! Here's what it unlocks🧵show more

Weiyan Shi
21,569 次观看 • 6 天前
Stop spending hours on manual work. You can now... use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---show more

Shushant Lakhyani
20,423 次观看 • 1 年前
What if you could create your own AI agent?... With Bluwhale Create Agent, anyone can: • Build an AI-powered strategy • Deploy it to the marketplace • Let others use your agent • Earn when your agent performs AI agents aren’t just tools anymore. They’re becoming economic participants. 🎥 See how it works ↓show more

Bluwhale
23,082 次观看 • 4 个月前
It's Friday. Your timesheet is blank. Your brain is... blank. Your motivation is blank. Agent Mode in Edge for Business is coming soon to help take care of that last task so you’re one step closer to happy hour. Learn more:show more

Microsoft Edge Dev
12,789 次观看 • 4 个月前
🧧Ready to embrace the Spring Festival vibe? Decorate your... avatar with festive elements like red lanterns, paper cuttings, fireworks, and firecrackers! Special thanks to AI Agent creator XIONGMU for bringing the Spring Festival AI Agent to LBank.com. Our AI Agent creators are on the cutting edge, crafting bespoke solutions for brands that tap into the latest trends. By leveraging our multi-modal capabilities, these Agents are taking Crypto x AI to new heights and pushing the envelope in innovation. Kick off your new year with a splash of joy and prosperity – get a custom avatar from this AI Agent:show more

MyShell.AI
50,486 次观看 • 1 年前
i built a telegram bot that turns your social... media feed into an agent brain how it works: > send content to the bot > bot stores content on obsidian > use obsidian file path for your agents context the smarter the brain the smarter the agentshow more

sophia
40,475 次观看 • 4 个月前
I still think Hermes agent is the most slept-on... AI tool of 2026. For literally $6/mo, you can launch multiple subagents that work for you 24/7. Most people don't know you can do this, but it's a complete game-changer. Instead of one Hermes assistant doing everything sequentially, you run specialized agents in parallel, each with its own job, its own context, and its own memory. Practical example: → Research agent: scans your watchlist and competitors overnight, delivers a morning brief → Content agent: drafts and schedules your posts based on what's trending in your niche → Ops agent: manages your inbox, flags anything urgent, drafts replies for your review All three can run simultaneously and improve over time. How to start: 1. Install Hermes Terminal command: curl -fsSL | bash (can also download desktop) 2. Prompting Simply tell Hermes directly: "I want to run separate subagents for [task 1], [task 2], and [task 3]. Set them up to run independently and report back to me." For the cheapest setup, you can use a $4/month VPS with Hostinger, plug in DeepSeek V4 Flash as your default model. There isn't another AI tool with this much value in 2026. Hermes is still so underrated.show more

Miles Deutscher
81,689 次观看 • 13 天前
Supabase now has Agent Skills! Install it on your... favorite AI agent/ editor to have it follow the best practices for handling Postgres! $ npx skills add supabase/agent-skillsshow more

Tyler Shukert
108,995 次观看 • 6 个月前
Introducing the BIOS API: Turn Your Agent Into a... Research Scientist Built to: 🦞 Add biomedical workflows to your OpenClaw🦞 agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots? Longevity scouts? Automated literature monitors? Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.show more

Bio Protocol
25,865 次观看 • 5 个月前
The Hive's latest agent architecture upgrade better leverages the... reasoning capabilities of LLMs. Our vision for DeFAI vision centers on a network of specialized agents coordinated by a single user-facing orchestrator. By focusing each specialized agent on dedicated tasks while enabling inter-agent collaboration, the system becomes more adaptable and efficient at handling user requests. These improvements will become clear as we roll out new tools in the coming days. Stay tuned 🐝show more

The Hive
42,937 次观看 • 1 年前
AGENT TRADING IS NOW OPEN 1500+ Agents are controlling... 3,000+ ETH in the worlds first onchain agentic market. Chat with your agent to get started!show more

DX Research Group
84,706 次观看 • 5 个月前
The Amiko app is live on the Solana dApp... store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →show more

AMIKO
124,860 次观看 • 1 个月前
SOMEONE MAPPED CHAOS INTO A NAVIGABLE SPACE AND YOUR... HERMES AGENT NEEDS THE SAME THING thousands of chaotic data points, each given a position, navigation becomes instant because the structure does the work your vault is the same chaos, hermes lands in it and opens files at random because nothing tells it where to start one index file per major folder with a clear starting point changes everything 2 minutes per task drops to 10 seconds, same agent, same model full breakdown in the article below ↓show more

leopardracer
23,618 次观看 • 27 天前
6,000 → over 12,000 agent-to-human pairings in the Billions... Network In 1 week we doubled the number - rapid growth after our launch 3 weeks ago! Get your AI agent paired with your Billions App profile, Earn Rewards with your OpenClaw agent, and Grow the Billions Network of Humans and AI agents Source: Billions Network Blockchain Explorershow more

Billions
70,209 次观看 • 4 个月前
more frontend vibecoding tips (results below): WHY YOUR VIBECODED... FRONTENDS ALL LOOK THE SAME AND SUCK: when asked to make a frontend, the agent/llm will default to the center/average of its training data (in a very loose sense). through the training process, the model essentially converges on some default UI style. it's very capable of doing things that are different from this style, but you have to ask! for instance, ChatGPT tends to reply in the same tone for all users untill you interact with it and instruct it differently ("be sassy", "eli5"). the second reason is that most of us are not good at coming up with designs and describing them precisely (see my tweet on a crash course in common components, which i'll link below). treat frontend generation just like any other eng task! you need to provide a good detailed spec. TIPS: 1. give ur agent screenshots of designs you like (you may not know the right words to describe them but the agent will! a pic = 1000 words) where to find ui inspo? Behance, Dribbble, Mobbin (Mobbin is paid but worth it!) 2. ask ur agent for proposals, this helps "seed" different directions so the final frontend stands out. don't be afraid to go back and forth. 3. ban certain tendencies: no Inter/Roboto, no shadcn (controversial), no gradients, no emojis 4. encourage the agent to be extreme and make bold decisions, not safe ones. i think that the underlying models tend to get taught during RL/fine-tuning to make conservative choices that produce reasonable but boring frontends 5. give ur agent Figma MCP. the best results will come if you mockup your vision in Figma first. 6. Ideally choose an agent with vision capabilities TLDR: Most people are tremendously underusing agents for frontend design. They are much better than you might expect.show more

andrew gao
64,212 次观看 • 5 个月前
OUR MONEYMAN sells for a record $2,000,000 to top... the July Selected Horses of Racing Age sale! Congrats to the connections: Buyer: Pedro Lanz, agent for KAS Stables Pedro Lanz Bloodstock Agent Consignor: Hunter Valley Farm, agent for Allied Racingshow more

Fasig-Tipton
11,583 次观看 • 15 天前