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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
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关注度当前有效 · 2026-09-12
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

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 learned during training.

Humans are the original proof. A biological neural network, refined by millions…

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