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4 articles
This article explains the roles of Agent Harness, Agent Framework, and MCP in modern AI agent architecture, focusing on how they manage execution loops, state, tools, permissions, and recovery mechanisms.
This explainer article explains what AI agent frameworks are, how they work, and why different frameworks vary in cost and speed. It's designed for beginners with no technical background.
Learn to build a hands-free agent framework similar to NVIDIA's HORIZON that uses Git worktrees for automated RTL problem solving and benchmark completion tracking.
Learn to build a lightweight AI agent framework by manually recreating nanobot's core subsystems including tool integration, memory management, skills, subagents, and cron scheduling.