Langgraph is an agent runtime – so all the supabase snapshot ting you’ve been doing we do for you! As well as durable execution, long term memory
AGENTS
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Agent Swarm: Multi-Agent System Building Entire Businesses Automatically
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🚨 ANNOUNCING AGENT SWARM – A MULTI-AGENT SYSTEM THAT CAN BUILD AN ENTIRE BUSINESS
— Bindu Reddy (@bindureddy) 11 avril 2026
A Master Agent spawns multiple worker agents each responsible for a task
The workers agents use 12+ LLMs to do various tasks including research, design, coding, testing and automation
The… pic.twitter.com/wA34ibBzSS🚨 ANNOUNCING AGENT SWARM – A MULTI-AGENT SYSTEM THAT CAN BUILD AN ENTIRE BUSINESS A Master Agent spawns multiple worker agents each responsible for a task The workers agents use 12+ LLMs to do various tasks including research, design, coding, testing and automation The Master Agent monitors and delegates tasks to the worker agents Agent Swarms will evolve to work like human teams and will have eventually have goals instead of stand-alone tasks Agent Swarms Is A Early Manifestation of AGI
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OpenResearcher: Open Pipeline for AI-Powered Deep Web Research
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How do we train AI agents to perform complex, multi-step research efficiently and reproducibly? Researchers from Texas A&M, University of Waterloo, UC San Diego, Verdent AI, NetMind AI, and Lambda introduce OpenResearcher, a fully open pipeline that simulates deep web research
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Claude Hits Search Budget Limit Mid-Message in Fresh Chat
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Claude just told me it "ran out of search budget" halfway through the first message in a fresh chat. Is this new?
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Five Pillars of Modern AI: Integration and Governance
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This diagram nails it. Modern AI isn’t one thing — it’s 5 interacting pillars: GenAI • LLMs • RAG • Agents • Agentic systems The edge isn’t tools. It’s how you connect, control, and govern them. Miss one layer → fragile AI.
→ View original post on X — @ingliguori, 2026-04-11 17:25 UTC
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Tools and Harnessing Drive Recent AI Progress Over Scale
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nope, tools/harnessing is what is accounting for most of the recent progress. not scale. no way could you get a pure LLM to do what Claude Code does. that’s why they used the other stuff, too see eg https://
open.substack.com/pub/garymarcus
/p/how-o3-and-grok-4-accidentally-vindicated?r=8tdk6&utm_medium=ios
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Agent Loop Implementation Code Organization Best Practices
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and yeah putting an agent loop in a file called print.ts is, um, ugly.
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API Provider Features and Prompt Caching in Deep Agents
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this is a good point around taking advantage of model/api provider features i agree that prompt caching is great! we make sure to use it in deepagents! but that alone doesnt lock in – you can switch pretty easily, just a bit more costly things like encrypted or serverside
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Understanding Agent Harnesses in LangChain Development
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@sarahwooders helped educate me on some of the lock in as well https://
blog.langchain.com/the-anatomy-of
-an-agent-harness/
… is a great blog by @Vtrivedy10 on agent harnesses i think the deep agent docs are pretty good as well -
Composer 2 Usage Doubled in New Interface Update
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This weekend we're doubling Composer 2 usage in our new interface.
— Cursor (@cursor_ai) 11 avril 2026
Open Agents Window, pick Composer 2, and start building! No hourly limits.https://t.co/Z5GHz7kcG1This weekend we're doubling Composer 2 usage in our new interface. Open Agents Window, pick Composer 2, and start building! No hourly limits.