Memory Poisoning for AI Agents: The Sleeper Attack You Must Design Against
Adolfo Usier2026-11-07T06:18:14+00:00Memory poisoning for AI agents is one of those problems that feels “rare” until it ruins everything. [Read more]
Memory poisoning for AI agents is one of those problems that feels “rare” until it ruins everything. [Read more]
Deterministic agent control planes turn agent chaos into safe, checkable execution. Learn how state machines, validation, and tracing improve reliability.
This OpenCrabs keyless setup guide shows how to run a terminal AI agent without API keys. You’ll also learn stability tips for free-tier providers.
A practical, beginner-friendly guide to running OpenCrabs as a keyless AI agent in your terminal: the built-in free provider, context limits, speech-to-text, and what to do when free-tier rate limits hit.
Automatização UCFE em Alojamento Local com BA Direto: processo simples para comunicar dados à UCFE via check-in, email ou link. Segurança e consistência operacional.
Execution runtimes for AI agents enforce budgets, isolate tool execution, and keep durable checkpoints. Stop tool chaos and debug steps safely.
A2A agent safety helps you stop risky handoffs between agents. Learn context firewalls, RBAC, HITL checkpoints, and durable graphs for safer tool use.
Agents can return HTTP 200 while failing inside. This article explains how fault-tolerant agent observability and step-level evaluation spot tool payload issues, score trajectories, and drive CI regression tests.
SEO_FOCUS_KEYWORD durable agent graphs and A2A Intro These days, “AI agents” are everywhere. But most people only [Read more]
AI agents can return HTTP 200 while looping or calling unsafe tools. This guide shows how action-aware guardrails, agent tracing, and continuous evaluation work together for safe tool use in production.