ai-agents

MCP in 2026: Remote MCP, Managed Agents, and What Actually Changed

MCP is consolidating into the default way AI agents talk to tools. Here's a current explainer on what remote MCP means, the stateless-session change that landed in 2026, and how Gemini's managed agents put remote MCP and background tasks into production.

07/21/2026 · Industry Trends · 8 min read

Preventing AI Agent Security Incidents: A Pre-Production Evaluation Playbook

A VentureBeat survey found 54% of enterprises have already hit an AI agent security incident — and most still let agents share credentials. Here's a practical playbook to evaluate agents against realistic adversarial conditions before they reach production.

07/21/2026 · Model Evaluation · 9 min read

How to Evaluate AI Agents: Telling a Real Agent From a Chatbot

Most "agents" shipping to production are chatbots in a trench coat — and most teams are shipping without real evaluation anyway. Here is a durable framework for evaluating AI agents before they reach users.

07/20/2026 · Model Evaluation · 8 min read

AI Agent Security: The Real Risks and a Practical Best-Practices Checklist

54% of enterprises have already had an AI agent security incident — and most still let agents share credentials. Here is the real threat model for production AI agents, and a practical checklist to harden them.

07/20/2026 · Industry Trends · 9 min read

AI Agent Skills, Explained: Skill Servers, Sandboxed Tool Orchestration, and Portable Capabilities

Skills are becoming the portable, shareable unit of agent capability. Here's what an AI agent skill actually is, how it differs from a tool or an MCP server, and how teams share them.

07/14/2026 · AI Tutorials · 8 min read

The Best Open-Source AI Agents in 2026: OpenClaw, Hermes, and the Funded Independents

The open-source agent stack is now shipping weekly and pulling in serious capital. Here's the 2026 field — OpenClaw, Nous Research's Hermes, and how to choose and self-host one.

07/14/2026 · Industry Trends · 8 min read

Open-Source Agent Frameworks in 2026: Hermes vs OpenClaw

Choosing an open-source agent framework is a bet on stability versus velocity. Here's a builder's decision guide, using this month's Hermes, OpenClaw, and Claude Code releases as live signals.

07/12/2026 · Industry Trends · 7 min read

Better Models, Worse Tools: Why AI Agents Still Feel Dumb in 2026

Frontier models keep getting smarter, yet the agents built on them still feel brittle. Here's why the bottleneck moved from model quality to tooling — and what that means for anyone shipping agents.

07/06/2026 · Industry Trends · 7 min read

Are AI Agents Overhyped? What Zuckerberg's "Slower Than Hoped" Admission Really Means

Mark Zuckerberg told Meta staff that AI agents haven't progressed as fast as he'd hoped. Here's what's real, what's stuck, and where agents already deliver value in 2026.

07/03/2026 · Industry Trends · 6 min read

OpenClaw Mobile: How to Set It Up on Android and iOS (v2026.6.11 Guide)

OpenClaw is finally on Android and iOS. Here's how to set it up via the OpenClaw Gateway, which messaging channels it supports, and what the v2026.6.11 reliability release fixes.

07/02/2026 · AI Tutorials · 6 min read

Prompt Injection Defense: A Builder's Guide to Securing AI Agents

Prompt injection defense is now a shipping requirement for anyone connecting an LLM to tools. Here is what the attack really is, why it can't be patched away, and the defense-in-depth layers to ship before your agent touches anything that matters.

06/30/2026 · AI Tutorials · 8 min read

AI Agents at Work: A Playbook for Deploying Them Without the Hype

AI agents at work are moving from demo to daily driver — Samsung is rolling ChatGPT and Codex to employees, and Notion retired its own email app because users prefer agents. Here's a strategic playbook for where agents pay off and how to deploy them.

06/29/2026 · Industry Trends · 8 min read

How to Evaluate AI Agents: A Practical Reliability Playbook

AI agent evaluation is the discipline most teams skip — and the one that decides whether your agent survives production. Here's how to test agents for correctness, reliability, memory, and failure modes before and after you ship.

06/29/2026 · Model Evaluation · 9 min read

How to Benchmark AI Agents on Your Own Tools (Not Just Leaderboards)

Public leaderboards won't tell you if a model can actually drive your tools. Here's how to build a lightweight, reproducible agentic eval against your own harness — and why local models are now in the running.

06/28/2026 · Model Evaluation · 9 min read

Prompt Injection in 2026: How to Actually Defend Your AI Agents

Prompt injection is still the #1 blocker to shipping AI agents. Here is what the attack really is, why a system prompt won't fix it, and the defense-in-depth patterns that hold up in practice.

06/28/2026 · Research · 9 min read

How to Evaluate AI Agents in 2026: Beyond Benchmark Saturation

Static leaderboards are saturating, so durable agent evaluation is shifting to stress-testing in simulated environments. A practical 2026 framework for measuring whether your AI agent is actually reliable.

06/27/2026 · Model Evaluation · 8 min read

How to Secure an AI Agent: Prompt Injection, Role Confusion, and Red-Teaming in 2026

In one week of June 2026, three independent sources reframed agent security — Willison's role-confusion model, the RIFT-Bench red-teaming benchmark, and the MosaicLeaks secret-leak demo. Here's how to secure an AI agent as a trust-boundary problem, not a string-filtering one.

06/25/2026 · Research · 9 min read