OpenJarvis Review: A Local-First Personal AI Framework for Private, On-Device Agents
OpenJarvis is a local-first personal AI framework from Stanford-linked researchers that helps developers build private, efficient, on-device AI agents. This…
TeacHER Explains: What is a coding agent?
A practical beginner explanation of coding agents: AI systems that can plan, edit files, run commands, and work toward software…
TeacHER Explains: What is Cursor?
Cursor is an AI-powered code editor for working with code. TeacHER explains what it does, why it matters, and how…
TeacHER Explains: What is MCP?
MCP helps AI tools connect to external tools and context in a more standard way. TeacHER explains the Model Context…
TeacHER Explains: What is an AI agent?
An AI agent is an AI system that can work toward a goal by deciding steps, using tools, checking results,…
Best Memory for Hermes Agent: What to Use, Why It Matters, and How to Set It Up
The best memory setup for Hermes Agent is a layered approach: use built-in memory for reliable local preferences and project…
HyperFrames Explained: How HTML-to-Video Rendering Creates Deterministic, Agent-Friendly Video Pipelines
HyperFrames is an open-source framework from HeyGen that renders plain HTML/CSS/JavaScript into pixel-perfect, deterministic MP4 videos via a CLI. By…
Hermes Agent (Nous Research) Explained: How Persistent Memory and Auto-Generated Skills Make Self-Hosted AI Automation More Reliable
Hermes Agent (by Nous Research) is an MIT-licensed, self-hosted AI agent framework designed around a closed learning loop: it maintains…
Nvidia’s NemoClaw: Open-Source AI Agent Platform Signals Shift Toward Secure, Hardware-Agnostic Enterprise Deployments
Nvidia’s forthcoming NemoClaw open-source platform promises enterprise-grade AI agents with security, privacy, and hardware-agnostic design, positioning it as a secure…
How to Evaluate AI Agents in Production: Metrics for Reliability, Tool-Use Failures, and Non-Determinism
A practical framework for evaluating AI agents in production using layered metrics—session success, trajectory quality, and action/tool correctness—plus strategies to…