AI Agents
CoMIC: Cloud-Edge Memory for LLM Agents
CoMIC's cloud-edge architecture lets agents share learned trajectories without retraining. Is this where your memory budget should actually live?
AI Agents
AI Agents
LangGraph 1.2.3: RemoteGraph's Streaming Shift
What does LangGraph 1.2.3 really change? The v3 streaming protocol and RemoteGraph updates are reshaping how distributed agent graphs communicate across processes.
AI Agents
AI Agent Harness Is Becoming OS Infrastructure
The AI agent harness is collapsing into the OS layer. AOSP's native Android integration shows what's at stake for latency, security, and platform control.
Sunday Dispatch
The Sunday Dispatch: Your AI Search Is Just Memory
Summary AI search agents are not actually searching, they are recalling. A new benchmark exposes the gap between what these tools claim to do and what they actually do. This edition also covers the quiet governance race beginning to form around AI agents, and a structural inefficiency in how most
AI Agents
Typed Pseudocode Is Reshaping LLM Agent Skills
Why are typed pseudocode contracts beating markdown skill libraries? ALFWorld benchmarks reveal 22.8% token savings. Here's what it means for agent builders.
AI Agents
Agentic AI Is Reshaping the Error Surface
Agentic AI is shifting software reliability from runtime to design time. Are you debugging symptoms or fixing the real architectural problem?
AI Agents
CrewAI and the Shared Signal Layer Problem
Why giving every agent independent access to raw signals creates contradictions no framework can fix — and what shared epistemic infrastructure actually solves.
AI Agents
AI Agent Governance: The Layer Teams Are Missing
AI agents need more than capable frameworks — they need a governance layer. Discover why the productionization gap is structural, not a tooling problem.
AI Agents
Autonomous Agents Can't Close the Feedback Loop
Why do agents with web search and adaptation tools lose to fixed VLMs? WildRoadBench exposes the feedback loop gap no one in agent development has solved.
AI Agents
AI Agents Only Work When You Constrain Them
Why do AI agents fail in production? It's not the model—it's the lack of constraints. Learn how domain-specific guardrails separate demos from deployments.
AI Agents
VLM Agents: Why Trajectory Structure Now Matters
How does GROW fix the credit assignment problem in multi-turn agents? Discover why trajectory structure matters more than model selection in 2025.
AI Infrastructure
AI Agent Harnesses Are the New Optimization Layer
Base model performance is commoditized. The real inference gains now live in the execution layer. What does that mean for how you build AI infrastructure?