Tag: AI Agent
All the articles with the tag "AI Agent".
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Hermes Agent in Practice: Embedding an AI Assistant into Your Development Workflow
Not another feature rundown of Hermes — this is what it's actually like after wiring it into a real development workflow: code review, requirement breakdown, doc generation, scheduled monitoring. Which scenarios genuinely help, and which ones will bite you.
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Hermes Agent Review: OpenClaw's Successor, a Multi-Platform AI Assistant with a Built-In Learning Loop
Hermes Agent is an open-source AI assistant framework from Nous Research, featuring a self-learning loop, cross-platform messaging integration, and cron scheduling, with one-command migration from OpenClaw configs. This post covers its core features, where it fits, and its limitations.
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After OpenClaw Shut Down: Rebuilding a Multi-Agent Automation Setup with the Claude Code CLI
When the third-party AI agent framework OpenClaw shut down, I rebuilt the entire multi-agent automation experience with the Claude Code CLI: Telegram bots, scheduled tasks, session persistence — plus every pitfall I hit along the way.
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GitHub Squad: Drop an AI Dev Team Straight into Your Repo
Squad, an open-source project, lets you spin up an AI dev team inside your repo with two commands—an architect, frontend dev, backend dev, and tester, each with their own job, collaborating on top of Copilot. A look at its architecture, what it's like to use, and the multi-agent collaboration patterns behind it.
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Computer-Use: When AI Agents No Longer Need APIs
AI agents are learning to operate computers the way humans do—reading the screen, clicking the mouse, typing on the keyboard. From Anthropic's Claude Computer Use to Microsoft's CUA to OpenAI's Operator, Computer-Use is redefining what "software integration" means.
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Karpathy's AutoResearch: Letting an AI Agent Run 700 ML Experiments on Its Own
A deep dive into Karpathy's open-source AutoResearch project: how a 630-line Python script lets an AI agent run ML experiments autonomously on a single GPU, completing 700 experiments in two days and finding 20 effective optimizations. From architecture to practical applications, here's why every developer should pay attention to the "Karpathy Loop" pattern.
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When AI Agents Learn to Pay: A Deep Dive into the x402 Protocol and Agent Payment Infrastructure
How Coinbase's x402 protocol revived the HTTP 402 status code to let AI agents pay for API calls with stablecoins. From protocol design to hands-on code, from the Stripe/Mastercard competitive landscape to the reality of $28K daily volume — a full breakdown of the agent payments space.
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OpenClaw Automation in Practice: Building a 24/7 AI Assistant with Cron + Heartbeat
A deep dive into OpenClaw's Cron Job and Heartbeat mechanisms—from choosing between them to engineering practice—with a real production case study covering error handling, state management, and cost optimization.