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🔥 OthmanAdi / planning-with-files - Persistent file-based planning for AI coding agents and long

GitHub热门项目 | Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. | Stars: 24,557 | 61 stars today | 语言: Python

2026-07-05 21:00 8 原文
产品设计 The Verge AI

Vizio accidentally made the best dumb TV on the market

When I first started testing Vizio's 65-inch Mini LED Quantum TV, I thought the big story was that Vizio was back and that it had a quantum-dot TV for under $398 - the cheapest on the market. Vizio's been pretty quiet since it was acquired by Walmart in 2024, so putting out a TV with […]

John.Higgins 2026-07-05 21:00 11 原文
AI 资讯 Dev.to

TraceTree: Mapping malware behavior to catch supply chain attacks

We just released an important update: retraining our Random Forest model on real malware behavior from the CIC-MalMem-2022 dataset. The challenge was mapping 58,000 complex memory dump traces into a clean 10-feature vector space that our syscall graph extractor produces. How it works: Sandbox target in Docker (network dropped) Trace every syscall with strace -t -f Parse into a NetworkX directed graph Extract 10 features (process count, network connections, file operations, severity scores, etc.) Feed into RandomForest for classification We also resolved module-level import cycles and pinned skops for safer model deserialization in production. Looking for collaborators who understand malware behavior, syscall parsing, or want to contribute detection rules. Open to issues and PRs. https://github.com/tejasprasad2008-afk/TraceTree

Tejas 2026-07-05 20:47 11 原文