Long-Running Governed AI Agents: Architecture (2026)
Architecture patterns for long-running, governed AI agents in 2026: durable execution, checkpointing, guardrails, and human-in-the-loop control.
Small vs Large LLMs for Agentic Tasks: A 2026 Benchmark
A reproducible 2026 benchmark methodology comparing small and large LLMs on agentic tasks: cost, latency, tool-call accuracy, and when small wins.
LangGraph DeltaChannel: Long-Running Agent Pattern (2026)
LangGraph v1.2 DeltaChannel slashes checkpoint overhead on long agent threads — the pattern, the wire-format change, and when to migrate from full snapshots.
Claude 4.6 Agent Tool Use Patterns for Production (2026)
Production-ready agent patterns with Claude 4.6 — parallel tool calls, planning, memory, error recovery, and when sub-agents beat single-agent loops.
Anthropic Cowork Mode: Desktop AI Agent Architecture Explained
Inside Anthropic Cowork mode — desktop agent architecture, MCP plugin model, sandboxed shell, computer use tier system, and how it differs from Claude Code in 2026.
Fact-Check: The AI Scientist Auto-Publishing Papers Viral Clips
Dissecting the viral AI Scientist clips claiming autonomous paper publication. What Sakana/Agent Laboratory actually did, what's hype, and the real state of autonomous research in 2026.
AI Agent Memory Systems: How Long-Term Memory Architectures Keep LLM Agents Coherent
Deep technical guide to LLM agent memory architectures — MemGPT, episodic vs semantic memory, vector retrieval, forgetting strategies, and production patterns.
AI Agents in the Trough of Disillusionment: Why Enterprise Agent Deployments Fail and How to Fix Them
Agentic AI is hitting Gartner's trough of disillusionment in 2026. Deep analysis of why enterprise agent deployments fail, common architectural pitfalls, and battle-tested patterns that work.