OverviewOpenClaw contains approximately 400,000 lines of code, making reading and comprehension quite challenging. Therefore, this series learns OpenClaw's features through Nanobot.Nanobot is an ultra-lightweight personal AI assistant framework open-sourced by the HKU Data Science Laboratory (HKUDS), positioned as "Ultra-Lightweight OpenClaw". It's very suitable for learning Agent architecture.Skill (技能) packages specific domain expertise, workflow processes, and best practices into reusable instruction modules embedded into AI context, enab...
Posts tagged Context Management Strategies
Beyond Prompt Engineering: The Core of Stable Agent Deployment—Harness Engineering
Practitioners working on AI Agent deployment have likely encountered this frustrating dilemma: despite using flagship models, revising prompts hundreds of times, and fine-tuning RAG systems repeatedly, task success rates simply won't improve in real-world scenarios. The agent sometimes appears brilliant, other times goes completely off-track.The root of the problem lies not in the model itself, but in the operational system surrounding it—the Harness.Understanding Harness EngineeringThe term "Harness" originally refers to restraint or contro...