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Cambridge Mofang Notes

Upholding classic programming, focusing on AI human‑machine collaboration, technology implementation and practice sharing.

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Latest from Cambridge Mofang Notes

15 recent articles

Cambridge Mofang Notes

Mar 13, 2026 · Information Security

OpenClaw Keeps Running After Terminal Close: WSL2 Security Risk & Fix

When running OpenClaw locally via WSL2, closing the terminal window does not stop the gateway service, leaving it accessible on open ports and exposing API keys and local files; the article explains the WSL2 mechanism behind this, provides two proper shutdown methods, and lists four security practices to mitigate the risk.

API key exposureOpenClawWSL2

0 likes · 3 min read

OpenClaw Keeps Running After Terminal Close: WSL2 Security Risk & Fix

Cambridge Mofang Notes

Mar 10, 2026 · Operations

Integrate OpenClaw with Feishu: Mobile Access for Your Self-Hosted AI Agent

This tutorial walks through integrating the self-hosted AI agent OpenClaw with Feishu (Lark) to enable mobile access, covering Feishu app creation, permission configuration, bot setup, OpenClaw plugin installation, channel configuration via CLI, event subscription, and pairing for remote command and feedback.

AI AgentCLIFeishu

0 likes · 8 min read

Integrate OpenClaw with Feishu: Mobile Access for Your Self-Hosted AI Agent

Cambridge Mofang Notes

Mar 9, 2026 · Artificial Intelligence

Configure AI Models for OpenClaw: Give Your Agent a Brain

This tutorial walks through configuring cloud AI models for OpenClaw on Windows, covering status checks, provider selection (Alibaba Bailian, ByteDance, Kimi), JSON configuration with API keys, and testing the agent's first conversation.

AI AgentAlibaba BailianOpenClaw

0 likes · 5 min read

Configure AI Models for OpenClaw: Give Your Agent a Brain

Cambridge Mofang Notes

Feb 5, 2025 · Artificial Intelligence

DeepSeek R1's Knowledge Distillation: Teacher-Student Model Compression Explained

This article explains knowledge distillation as used in DeepSeek's R1 model, detailing how a large teacher model transfers knowledge to a smaller student model via soft targets and loss functions like KL divergence, enabling efficient deployment on resource-constrained devices.

AI EfficiencyDeepSeek-R1KL Divergence

0 likes · 6 min read

DeepSeek R1's Knowledge Distillation: Teacher-Student Model Compression Explained

Cambridge Mofang Notes

Apr 8, 2024 · Fundamentals

Framework vs Architecture: Core Differences in Software Development

This article explains the distinction between software frameworks and architecture, detailing their definitions, differences in level, goals, and scope, and how they complement each other to ensure system quality, maintainability, and scalability.

DjangoReActarchitecture

0 likes · 5 min read

Framework vs Architecture: Core Differences in Software Development