Deepagents https://
github.com/langchain-ai/d
eepagents
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AI
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Deepagents: LangChain Framework for Autonomous AI Agents
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Optimization Engines Learn Physical Constraints Beyond Mathematics
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Your optimization engine just learned the difference between mathematically possible and physically realistic.
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Top AI Papers: Agents, LLMs, and Coding Automation
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The Top AI Papers of the Week (April 6 – 12) – Memento
– Neural Computers
– The Universal Verifier
– Agent Skills in the Wild
– Memory Intelligence Agent (MIA)
– Single-Agent vs Multi-Agent LLMs
– Scaling Coding Agents via Atomic Skills Read on for more: -
Open Memory Standards for AI Agents and Best Practices
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Directionally correct Open memory standards will need to emerge But it’s so early right now. We’re still just figuring out what best practices are. And so a lot is at the mercy of harnesses Agents.md and skills are great start though
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Open Memory Standards for AI Agents Emerging
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Directionally correct Open memory standards will need to emerge But it’s so early right now. We’re still just figuring out what best practices are. And so a lot is at the mercy of harnesses Agents.md and skills are great start though
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Debating optimal markdown files for AI agents likely temporary
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It is notable that we are all debating exactly which markdown files are most important to feed AI (skills, memory, tool instructions) and in which order to feed them to get the best output. Feels that this is likely a temporary state of affairs in the development of agents
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Deterministic AI Creativity Respects Thermodynamic Laws
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The deterministic foundation ensures AI creativity never violates the laws of thermodynamics or material science.
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Why Claude’s Concise Style Makes It More Appealing
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From my own experience, I can say that I'm using Claude more and more. It's simply the taste; the less "chatty" nature and the more concise answers make it more appealing.
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Stochastic AI and Physics Models Optimize Manufacturing Control
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Stochastic algorithms like AI sit on top of deterministic mathematical models. Partner content with @Siemens.
— Lucian Fogoros (@fogoros) 12 avril 2026
AI gets creative freedom to optimize. Physics equations catch the impossible solutions.
Two-layer intelligence for manufacturing control. #sie_di #SiemensSDX pic.twitter.com/8tBtO8fUocStochastic algorithms like AI sit on top of deterministic mathematical models. Partner content with @Siemens
. AI gets creative freedom to optimize. Physics equations catch the impossible solutions.
Two-layer intelligence for manufacturing control. #sie_di #SiemensSDX -
Systems require continuous learning for improvement
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Totally agree about the whole system needing to continually learn