“Every enterprise needs a claw strategy.” How did LangChain... go from a weekend project to 1B+ downloads in 3 years? We sat down with CEO and co-founder Harrison Chase (Harrison Chase) to talk deep agents, evolving agent architectures, and what’s coming next. 🎧 Full episode:show more

Ringfence is pleased to announce the official Based Agent... Grants (BAG) Advisory Board! A crew of founders and strategists guiding the next wave of agent-native startups. Meet the board: 🔸 Whitney (CEO, Ringfence) 🔸 hudah.slam ⚡ (Strategy, CryptoSlam!) 🔸 Graeme (Founder, Amplifi) 🔸 Nick (Founder, Cardify) 🔸 Leigh (Founder, cybercentry.base.eth) Their mission? Back agents with teeth, fund useful launches, and shape the culture of agentic software from the inside.show more

"I won't be a Springbok... but I will take... the Snowbok." 🇿🇦❄️ Imagine waking up at 32 years old, leaving your career in finance, and deciding to qualify for the Winter Olympics in a sport you’ve never really done. Sounds impossible? Matt C. Smith didn't think so. We sat down with "The Snowbok" to hear how he reverse-engineered an Olympic qualification in just 700 days. From learning how to walk on ice like a penguin to training 7 hours a day in Norwegian blizzards—this is a masterclass in resilience and defying the odds. If you think you’ve missed your window to chase a dream, you need to watch this. 👇 Watch the full episode on YouTube!show more

She speaks in the third person every episode. I... wonder if that’s to remember her character of a “mother” or if it’s a liability issue. What do you guys think? Let’s do a deep dive and sleuth out why she talks like a ceo describing an LLC, and how did she have four kids in five years with a gay British lord while being hunted by Jews and trans politicians?show more

We want to give a huge thank you to... the organizers at #KBW2024 for throwing a great event!✨ Our CEO / Co-Founder Sean Ren and the #SaharaAI team had a fantastic time doing interviews & building relationships with the community in Korea!🇰🇷 Looking forward to the next one!show more

Excited to launch a new way to upskill with... AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.show more

2 Cursor Composer agents working together on the same... project. one builds the project, the other reviews once the first agent is done and writes a report. cursor rules file is in comment to achieve this. first agent is instructed to build the project second agent is instructed to write a monitoring script to determine when the project is done then to review the project for errors and write a report This prompt can be improved. This is meant as a baseline If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interestedshow more

💡We invented a new asset class with digital collectibles.... Now, we're building the future of finance. Dapper Labs Co-Founder & CEO roham joins #GenC to discuss the strategic expansion from digital collectibles to Peak Money. He details how Agentic AI and programmatic DeFi will empower the new tokenized creator economy, where every major fan community and social platform will run its own internal economy. 📺 Watch the full episode here: Thank you Midnight 👋 for being a sponsor of the CoinDesk Media Network.show more

Karpathy's Agentic Engineering finally has proper tooling! (built by... Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.show more

This makes any agent a full employee: 1. e.g.... creates videos with seedance 2 2. uploads the videos on Tiktok every 4h 3. analyses best hooks and repeats. - It can modify its own harness. Therefore no task is impossible. - Shared domain specific skills - agents learn from each other to be faster next time.show more

We're proud to announce the first speaker of Solana... Summit Serbia: Vidor | Solflare, Co-CEO and Co-Founder of Solflare - The Solana Wallet, the first wallet ever built on Solana Solflare started 5 years ago, now serves 4M+ users with ~$15B in self-custody, has a card that lets you spend USDC directly from your wallet, and a lot more. Aug 26-27, Belgrade, Sava Centar.show more

🌊 Liquify is making waves with Fetch.ai, a leader... in AI-powered blockchain solutions! We’re charting new waters together, integrating their #AI-native Agents into our project pages for you to make more informed decisions. Here’s what’s flowing your way: 🔹 Interactive AI agents on every project page: ask and receive real-time, AI-powered insights. 🔹 Aggregated data from X posts, WhitePapers, websites & rich data layer. 🔹Discover and evaluate assets more effectively, at your fingertips. We're diving deep to create a smarter, smoother experience for you. Stay informed 🧠 Stay liquid 🌊show more

Your enterprise content should power every AI tool and... agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →show more

A massive repository with end-to-end examples of AI applications... with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:show more

🎉 How D-lightful! 🎉 Chainguard has raised a $356M... Series D round co-led by new investor Kleiner Perkins and existing investor IVP, with participation from Salesforce Ventures, Datadog, Inc. Ventures, and every single other existing investor. This brings our total funds raised to over $600M, and puts us at a $3.5 billion valuation. We’re on a mission to be the safe source for open source and build a future where security and innovation can move in lockstep. This new investment allows us to continue creating secure, easy to use products and solutions that enable that future for our users. The momentum we’ve built over the past few years has been incredible to experience, and we’re grateful to all our customers, investors, and community for supporting us and being along for the ride. 🫶 Reach out if you are interested in joining us on this journey—we are hiring in every department! Check out our CEO and co-founder Dan Lorenc's blog:show more

Yesterday we celebrated 10 years of IOTA during #TOKEN2049... A decade filled with challenges and breakthroughs. Every step shaped us. Now, we enter the next chapter stronger than ever. I am proud to be a part of this amazing team! ❤️ With our Move-based L1, we finally have the technical foundation to bring global trade on-chain and unlock real use of tokenized assets in DeFi. I’m excited for what’s next. Our roadmap is packed and I believe the next years will outshine everything we have done so far.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 Gemini 2.0 era is here. And we’re excited... for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖show more