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Why Do Multi-Agent LLM Systems Fail? 14 Failure Modes and How to Catch ThemMulti-agent LLM systems fail from design flaws, misalignment between agents and weak verification. Here are all 14 MAST failure modes, how often each happens, and the production signal that catches it.Read articleMore articles
Best Open Source AI Agents in 2026: OpenClaw, Hermes, OpenHands and More8 open source AI agents you can run today, from OpenClaw and Hermes Agent to OpenHands and goose, ranked by job and scored on license, setup, model freedom and safety.
LLMOps for AI Agents: How to Run Agents Reliably in ProductionLLMOps for AI agents is a five-stage loop: version, release, supervise, budget, respond. Learn how to keep agents reliable in production, with a risk tiering table, an incident runbook and a checklist.
What Is Agentic Coding? How AI Agents Plan, Write and Ship CodeAgentic coding hands an AI agent a task instead of a prompt. Learn how the plan, act, verify loop works, where coding agents fail, what the evidence says about speed, and the controls that make them safe.
Prompt Injection in AI Agents: Attacks, Real Examples and Defenses That WorkPrompt injection turns AI agents against their owners. Learn direct and indirect attacks, real exploits like EchoLeak and GitHub MCP, and the containment defenses that actually hold up.
Agentic Workflows Explained: Patterns, Examples and When to Use ThemAgentic workflows sit between fixed automations and fully autonomous agents. Learn what they are, the patterns behind them, real examples, and a 5-question checklist for when to use one.
Background Agents: Running AI Agents 24/7 Without You at the KeyboardLearn how background agents run on schedules and triggers, keep working when your laptop sleeps, and handle recurring business operations safely.
Agent Skills Explained: How Reusable Skills Make AI Agents ReliableLearn how agent skills package reusable procedures, why progressive disclosure matters, and which controls make skills reliable in production.
LLM Gateway for AI Agents: Routing, Failover and Cost ControlLearn how an LLM gateway routes AI agent requests, handles provider failures and rate limits, and controls spend across models.
Subagents Explained: How AI Agents Delegate Work to Other AgentsLearn what subagents are, how AI agents delegate tasks, and when multi-agent workflows outperform a single agent, with architecture patterns, risks, and design guidance.
AI Agent Identity Management: Securing Credentials, OAuth and Tool AccessLearn how to give AI agents distinct identities, protect credentials, scope OAuth access, govern tool permissions, and preserve an auditable chain of authority.
AI Agent Planning: How Agents Break Goals Into Executable TasksLearn how AI agents turn goals into executable tasks, choose planning strategies, validate results, and replan safely when reality changes.
Claude Agent SDK: How to Build Production AI AgentsLearn how to take the Claude Agent SDK from prototype to production with sandboxing, durable sessions, permissions, observability, approvals, and recovery.2,000+ businesses run on Rerun
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