Introducing Gaia Intern! Built with @mindscraftai 💪: an autonomous,... fully customizable and ready to deploy, AI agent that supports community engagement, content creation, and dev workflows across Gaia 🧵⏬show more

Yesterday we launched the Agent Builder Template Library. Agent... templates are more than a starting point. They’re ready to deploy and fully customizable by giving your agent feedback in plain language. 🧵 for highlights Try Agent Builder:show more

Introducing Epstein Agent. I built an open source AI... agent that uses Nozomio Labs to index and search all available Epstein files. 100M words of publicly released documents.show more

IQ AI has launched the Agent Tokenization Platform (ATP)... — enabling AI agents to autonomously own, trade, and manage assets on-chain. Built with Frax Finance ¤⛓️¤ and NEAR Protocol integration, ATP marks a new era of AI as autonomous economic players. 🧵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

Imagine an AI agent that replies to tweets with... fully AI-generated songs and music videos! 🎶 A new AI agent is coming—one that transforms your tweets into custom songs and visuals! 🎙 Let’s spread the word about $AIVA in a fully automated way! 🚀show more

We are proud to announce our partnership with TagAI.... Tag AI is building autonomous agent infrastructure that expands the possibilities of AI in Web3. Together with Me3’s engagement layer, we aim to create smarter pathways for communities to grow, connect, and thrive 🧬show more

Introducing Solana Agent Skills Pre-built skills you can drop... into AI tools to interact with Solana. Install in one line and build agents that know Solana.show more

🛠️ Deploying autonomous agents requires infrastructure built for coordination,... execution, and lifecycle management. Lithosphere is advancing an agent deployment framework designed to support scalable AI-native systems operating across decentralized environments. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AgentDeployment #AIInfrastructureshow more

Introducing AgentsAI's Token Launcher: a seamless path to bringing... your AI agent ideas to life and beyond. Create your own AI agent, train it by simply chatting, and with a few clicks, launch its token to establish a digital identity in a new era of automation. With AgentsAI, you're not just building bots; you're crafting autonomous entities that engage, interact, and generate value. Create, launch, and watch as your AI agent thrives in the market, all with zero coding and maximum impact. This is the future of AI-powered digital personalities — effortless, accessible, and ready to take on the world.show more

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to... AI agents, making engineering and scientific workflows agent-ready. Here is an example of a triple inverted pendulum cart simulation made with the Agentic Toolkit!show more

Redefine your workflow with Teamily AI, the team brain... built for 10X productivity. Instant Multi-Agent Teams Describe your goal and Teamily AI assembles a pro agent team to execute in parallel, fast from idea to done. Why Teamily: - Persistent Memory, keeps context - Autonomous Agents, coordinate via @-mentions - Pro Workspace, Studio, Automations, Meeting Minutes - Agent Market, deploy from the "Discover" tab 🌐 🍎 🤖show more

We’re pleased to present Accel Atoms 3.0, our latest... edition of the community-led platform for early-stage founders. With Atoms 3.0, we're introducing sector-focused cohorts for founders across two exciting themes: AI and Industry 5.0 🧵1/show more

Introducing WELLAIOS: A revolutionary Open source AI Agent development... framework and launchpad on Solana WELLAIOS empowers you to create, tokenize, and trade advanced AI agents on the Solana blockchain. Built by our team of AI professionals, our platform combines a sophisticated open-source framework with multi-modal AI technology, bringing character creation and storytelling to life without having to write a single line of code. Create intelligent digital characters that evolve, interact, and generate content through our library of AI agents. Each character becomes a unique asset equipped with a large set of AI tools on the Solana blockchain. For developers and creators: Join our thriving ecosystem where innovation meets rewards. Build plugins, contribute to our open-source framework, and earn as your creations shape the future. 👀 Sneak Peek: Watch our 3D AI agent capabilities showcase for content creation. Coming soon to Solana. Follow us on X for exclusive updates and be part of the revolution.show more

1/ 🔥🔥 Big news: We’re launching Percival, the first... AI agent that can evaluate and fix other AI agents! 🤖 Percival is an evaluation agent that doesn’t just detect failures in agent traces — it can fix them. Percival outperformed SOTA LLMs by 2.9x on the TRAIL dataset, containing human annotated errors from GAIA and SWE-Bench. 🦾 Here’s what Percival can do for you: - Automatically suggest prompt fixes for your agent - Catch 20+ types of agent failures spanning tool use, planning and coordination, domain specific errors - Reduce manual debugging time from hours to < 1 minuteshow more

Today, we are announcing that we've raised $20 million... from Union Square Ventures, Lightspeed, Y Combinator, Jeff Dean, Patrick Collison, John Collison, and others. We built an AI agent that connects to every tool you use at work, automates workflows across all of them, runs code when it needs to, and generates custom UIs on the fly that work with your actual systems and data. We hit $5M ARR and have had 1,200% growth this year. Read more atshow more

Dynamic workflows are a generalization of harnesses, automations, loops,... routing, and graphs. It's the most powerful feature I have built into my agent orchestrator. Supports all kinds of patterns that leverage different agent backends (claude, codex, pi, hermes,...). It's a meta-harness approach that unlocks new forms of test-time compute. Example of use cases it supports: > LLM councils to get different perspectives from LLMs or plan more intensively > Dynamically routing tasks to different agents based on needs (e.g., cost efficiency and optimal intelligence) > Advisor/Judge + executor workflows and pretty much any complex graph-based pattern required by the task. I find it especially useful for long-running work and code reviewing. > Agent teams that talk to each other if needed for the task. I like to use this for AI editing, artifact creation, and other creative tasks. And I am sure it supports so many things that I haven't discovered yet. I got inspired by the dynamic workflow feature released by the Claude Code team. I had actually built it earlier this year but wanted to generalize it across different agent backends. I think this is going to become more popular in the coming days. I will share more of my findings soon.show more

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

The agent economy won't run on a global registry.... Agents will find each other through verifiable paths propagating across a graph. We built that future today with our community. Read on to learn how to participate and claim your rite.show more

✨ Introducing ComfyUI-8iPlayer: Seamlessly integrate 8i volumetric videos into... your AI workflows! Load holograms, animate cameras, capture frames, and feed them to your favorite AI models. The future of 3D content creation is here! Developed by me for Kartel.ai 🚀 Note: There might be a few bugs, but I hope people can play with it! #AI #ComfyUI #Hologramshow more