claude-code-reverse-engineering

Kernel Memory is a reference implementation for turning documents into an AI memory layer through extraction, chunking, indexing, retrieval-augmented generation, and source citations. It can run as an asynchronous service or as an embedded component in .NET applications. The repository is archived and explicitly presented as unsupported research code, so it should be used for learning and architectural reference rather than production deployment.

color-expert is an installable skill for Claude Code, Codex, Cursor, Copilot, OpenCode, and other agents. A concise SKILL.md provides frequently needed facts, corrections, and practical guidance, while an index routes the agent to 144 deeper references on color spaces, APCA and WCAG accessibility, palettes, pigment mixing, historical theory, tools, papers, and transcripts. Trigger evaluations, realistic task prompts, and maintenance guidance help keep the collection organized. It is intended for explanations, color reviews, and implementation advice.

Ask about a topic and last30days searches recent discussions across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the wider web, then synthesizes cited findings using signals such as votes, comments, or market odds. It can fall back to web-only research without keys, while richer sources require your own API credentials, browser sessions, or helper tools, and it runs in many Agent Skills hosts or as a Claude Desktop MCP bundle.

Onyx is a self-hosted AI workspace for teams that want to use different LLMs through one interface and ground answers in organizational knowledge. It can index application data through more than 50 connectors or connect agents to external systems through MCP, with additional support for research workflows and code execution. Lite mode keeps a smaller chat-and-agents stack, while the standard deployment adds vector and keyword indexes plus background synchronization workers for a fuller knowledge workflow.