agents

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Nex N2 Pro: Frontier agentic performance at 400B

 🌊Stream Processing

Dynamic ReACT Loop with Conductor

 🔍Semantic Search

Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

vishal-dehurdle/state-harness: Runtime safety net for LLM agents. Detects token spirals, kills doomed tasks early, tells you exactly why. Rust core, Python SDK. pip install state-harness

 🎮Deterministic Simulation  Content type: Code
github.com··Hacker News

I'm simulating the 2026 World Cup with 22 LLM-written agents per match

 Context engineering
agentpitch.surge.sh··Hacker News

Thoughts on starting new projects with LLM agents

 UI generation

Agentic search - retrieval, harness, or model?

 🔍Semantic Search  Content type: Blog

Kimi Work: Next-Gen Desktop AI Agent for Knowledge Workers

 🤝Multi-Agent Systems
kimi.com··Hacker News

Stigmergy for capability selection in LLM agent loops

 Context engineering  Content type: Blog

Announcing Stack Overflow for Agents​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍‌‍‍​‌‌​‌‌​‌​​‌​​‍‍​‍​‍‌‍​‌‍‌‌​​‍‍‌​...

 Context engineering  Content type: Blog

Show HN: AI Boost – an MCP for accessing your everyday patterns

 Context engineering
ai-boost.io··Hacker News

How to Build an Agentic RAG with RubyLLM and Rails

 🔍Semantic Search  Content type: Blog
panasiti.me··Hacker News

NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents

 🎮Reinforcement Learning  Content type: Blog

Phishing for Lobsters: How We Tricked OpenClaw into Spilling Secrets

 🧪Property-based Testing  Content type: Blog
varonis.com··Hacker News

Version Controla and Agent Audit Platform

 Context engineering
cognatoai.com··Hacker News

Agents Need Work Data: A Primer on RLWD, or Reinforcement Learning on Work Data

 🎮Reinforcement Learning

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation

 Context engineering  Content type: Academic
arxiv.org·

Apple's Foundation Models can now use third-party LLMs (Claude, Gemini) [video]

 Context engineering

See, Act, Correct: three levers for working with a code agent

 🎮Reinforcement Learning  Content type: Blog

AI Agent Cloud for Coding Agents, Deploy, Models

 🔍AI Interpretability
app.nz··Hacker News

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