Everyone figured AI agents were demo magic ready for prime time. Amazon's Bedrock AgentCore Evaluations just exposed the ugly truth—and offers a fix that might actually stick.
AI agent builders have been stitching together vector stores, state backends, and tracers like a Frankenstein monster. LangChain's MongoDB tie-up flips that: agents now thrive on the database you already trust.
Nine AI agents unleashed 97 attacks on AgentGate, spotting a sly governance gap. The fix? A reputation-tiered bond system that swarms then stress-tested.
Your phone whispers to your Mac, and Claude makes it happen. Export that deck, fire off emails—while you're on the train. AI agents just went prime time.
Imagine a company where every employee is an AI agent, humming along without your input. Paperclip makes that real, right now.
Picture your AI coding bot choking on a loop. LangChain's new Skills framework claims to fix that with on-demand expertise. I'm not buying it yet.
I’ve never fixed a production agent by upgrading the model. Not once. Every fix came from changing what the model saw. That's the raw truth from the trenches.
Heart racing, I punched in 'docker compose pull'—jumping 15 OpenClaw versions in one go. What followed was a masterclass in why AI agents demand ninja-level ops skills.
A dev stares at Claude's stalled output, tweaks one env var, watches it devour logs and spawn sub-agents. Suddenly, it's not fumbling—it's engineering.
Imagine an AI agent downloading data from the web, analyzing it instantly, without clunky handoffs. Agent-Infra's AIO Sandbox makes that real, smashing the execution bottleneck holding back autonomous agents.
Bluesky's new Attie app hands you the reins to your feed via AI prompts. It's not just curation; it's the dawn of user-coded social networks.
Everyone thought OpenClaw agents would revolutionize your desktop. Turns out, a stern scolding makes them trash their own systems.