An agent hallucinated on a Tuesday. The memory layer stored it. By Friday, three downstream workflows treated it as ground truth. The recovery took 11 days.
[2026-05-12 11:42:08] agent_id=customer-service-v3 stored: refund_approved=true
[2026-05-13 03:17:21] agent_id=customer-service-v3 recalled: refund_approved=true (no ticket id)
[2026-05-13 09:04:55] agent_id=customer-service-v3 recalled: refund_approved=true (different ticket)
[2026-05-13 14:38:11] agent_id=customer-service-v3 recalled: refund_approved=true (different ticket)
[2026-05-16 10:00:00] finance ops opened: 47 refunds processed, only 11 had ticket approval
Context poisoning corrupts AI agent reasoning silently. Learn how it spreads through RAG, memory, and tools—and how to keep agent…
I thought my AI agent had been hacked. Four days later I pulled the SQLite database and found something stranger — it had…
Watch now | The unit of product behavior is shifting from the session to delegated work.
The boring take on agent memory is that coding agents forget too much. That is true, but it is also...
Three hackathons in three months. Three different agent setups. Three times I wrote a system prompt...
TL;DR: Most AI agent memory discussions still assume one agent talking to itself across sessions. But...
