Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
其他人工智能更新于 2026-10-25
其他人工智能MIT
Repository dossier
shareAI-lab/learn-claude-code
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Brief / README 摘要
查看原文Before we write any code, one thing needs to be clear. *Agency -- the capacity to perceive, reason, and act -- comes from model training, not from external code orchestration.** But a working agent product needs both the model and the harness. The model is the driver. The harness is the vehicle. This repository teaches you how to build the vehicle. At the core of every agent is a neural network -- a Transformer, an RNN, a trained function -- shaped by billions of gradient updates on sequences of perception, reasoning, and action. Agency was never bestowed by the surrounding code. It was learne…
Topics / 标签
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