Next week we're open sourcing Agent Builder - a... visual n8n-style workflow builder for AI agents. Build AI agent workflows with a visual canvas by connecting , LLMs, logic nodes, and MCPs, then deploy as an API. Stay tuned for this one 👀show more

Drag-and-drop UI to build AI agents! Langflow is a... powerful visual tool for building and deploying AI-powered agents and workflows—without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 62k+ stars 🌟show more

Your OpenClaw agents 🦞 just unlocked a paycheck. Build... agents with Warden → deploy on Warden → get paid. They’re eligible for the $1,000,000 in Agent Builder Incentives. Build agents with Warden → deploy on Warden → get paid. Agents building agents. Agents earning money. Build anywhere. Deploy on Warden.show more

We're dropping Open Scouts next week - an AI... web monitoring platform. Set up AI agents that monitor the web for anything you care about and get notified when they find what you're looking for. An open source example built with , AI SDK, and Resend! Stay tuned 👀show more

📢 NEW ADOPTION ALERT 📢 We're excited to welcome... GriffinAI | The #1 AI Agent Builder for DeFi 🤖 to the Vanar AI agent Ecosystem! 🎉 Griffin AI, a pioneer in decentralized networks for building and monetizing AI agents in Web3, will officially support the Vanar blockchain. Together, we’re driving the next wave of AI innovation.show more

Drag & Drop to build AI agents 🤯 Introducing... n8n, a visual UI for building AI agents with LangChain without writing a single line of Python code. Now build automation around LLM apps with NoCode and give superpowers to ChatGPT.show more

OpenClaw, but built for normal people. Sim is an... open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.show more

😊what’s coming next for #Unibase? Introducing BitAgent — A... Decentralized Multi-Agent Collaboration Platform, powered by $UB. Immortal AI Agents with on-chain identity, permanent memory, and cross-platform collaboration are here. 🧵 👉 Stay tuned — the first Agent is AWAKENING, sealed and verified by Unibase 👀show more

🤖 Ready for the Next AI Agent Trading Championship?... First, a quick look back at Round 4: 🔥 5,000+ AI Agents entered 🏆 688K solana:6ZnCkq5t8XG4q42b5JiVvU6hV5cZFaNdSBoFq5E7Vf9q rewarded 🎉 10 winning AI Agents 📈 +5.48% winning ROI The next round opens for registration next week. 👀 Haven’t tried building an Agent yet? Explore Bluprint, create your Agent, and get ready for the next battle 👇show more

✨ Advanced Visual Intelligence Agent! Nano Banana PRO is... an AI-powered visual generation agent available on Agent Forge. Using supported third-party AI models and image-processing tools, it enables users to generate images from text-based prompts for creative exploration, drafts, prototypes, and visual experimentation. Whether you’re working on early design concepts, artistic ideas, or automated content workflows, Nano Banana PRO helps streamline the process by converting written prompts into visual outputs within the Agent Forge environment. 🔗show more

Alchemist AI 3.5 is here 🪄 Try it out... now ▶️ ⚙️ Entirely rebuilt with a proprietary multi-agent engine ⚡️ Faster, smarter generations with real-time logic 🧠 16+ LLMs running in parallel across 8 orchestration layers 🎮 Build 3D games & apps live as you go Experience our flagship evolution and stay tuned for what's next!show more

“When you connect nodes together, you're designing a workflow... that moves and thinks like you do.” Learn the basics in our Intro to Fuser: A Visual Workspace for AI-Powered Creative Workflows. 🔗 ↓show more

OpenAI's AgentKit will be so insane, build every step... of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.show more

LayerAI AI Agent Manifesto is Live: The Path Forward... 🧬 We've made it easy for ecosystem veterans & newcomers to get excited about the market & product opportunity we're tackling next: AI Agent Infrastructure. We're building an AI-powered agent platform where people can deploy, market, and succeed with this new token subcategory. At the heart of this transformation lies a challenge: primitive & so far limited tech & AI capabilities of incumbent platforms. We believe that LayerAI is equipped to rise as the new leading infrastructure provider for this market. LayerAI has already demonstrated market validation for AI Agents and looks to build on what we believe is the very start of this category in web3. 👉 Explore now:show more

How do you build AI agents that remember and... learn from past conversations? Watch this episode of The Agent Factory for a deep dive into building agents with memory, including the fundamentals of agent memory, Vertex AI Memory Bank, and more →show more

I BUILT A 6-PERSON COMPANY WITH AI AGENTS. I... split the business into 6 jobs: -> RESEARCH finds opportunities -> OUTREACH finds prospects -> SALES qualifies leads -> BUILDER does the work -> SUPPORT handles customers -> FINANCE tracks the money one agent finishes -> the next one starts. anything risky - sending, spending, publishing - stops for human approval. so instead of asking ChatGPT to “help with my business,” you basically become the manager of a tiny AI workforce. 6 agents -> 1 workflow -> human approval -> shipped work and this is the interesting part: you don’t need to build some $1M autonomous company for this to make sense. getting one boring agent to solve one painful business problem and finding someone willing to pay $500–$2,000 for it is a much more realistic starting point. I broke down exactly how I’d go from $0 -> first $2,000 with AI agents below.show more