Code Deep Dives
Inside CAMEL: A Static Analysis Deep Dive into the Multi-Agent Orchestration Framework
A rigorous code-level investigation of CAMEL, the NeurIPS 2023 multi-agent framework, using automated AST-level static analysis. We dissect 8,371 symbols and 65,576 cross-references to reveal architectural patterns, security surface, and engineering trade-offs across 1,122 Python source files.
Inside MiroFish: How a 644-Symbol Codebase Simulates the Future with Swarm Intelligence
A deep code-level investigation into MiroFish — the open-source multi-agent prediction engine that topped GitHub's Global Trending. Using Code Indexer, we dissect its 85-file architecture, trace call chains from graph construction to report generation, and expose the LLM orchestration that powers its digital sandboxes.
RuView: How WiFi Signals Can See Through Walls — A Deep Dive Into the Edge AI System That Turns Radio Waves Into Human Pose
An open-source Rust project reconstructs human body pose, breathing rate, and heart rate from ordinary WiFi signals — no cameras, no cloud, no privacy concerns. We performed a deep code audit to understand how it actually works.
Inside OpenClaw: How the Open-Source AI Assistant Orchestrates 22+ Messaging Channels from a Single TypeScript Gateway
A deep architectural review of OpenClaw — the open-source personal AI assistant that runs locally on your devices and communicates through WhatsApp, Telegram, Discord, Signal, iMessage, and 17 other messaging platforms. We analyzed 95,000+ code chunks to understand how its Gateway, Agent Engine, and Memory System work together.
AI Can Now Unmask Anonymous Social Media Accounts for as Little as $4, Researchers Warn
A joint ETH Zurich and Anthropic study demonstrates that AI agents can identify two-thirds of pseudonymous users by cross-referencing public posts with LinkedIn profiles — fundamentally undermining online anonymity.