Learning resourceResearch and knowledge

claude-code-reverse-engineering

Extract and analyze Claude Code internals from its shipped native binary.

Learning resourceResearch and knowledge

claude-code-reverse-engineering

Extract and analyze Claude Code internals from its shipped native binary.

Learning resourceResearch and knowledgeOpenAPI

kernel-memory

@microsoftC#

Study how to build document indexing, retrieval, and cited memory for AI applications.

Project overview

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.

Stars: 2,169
Forks: 400
License: MIT

Learning resourceResearch and knowledge

skill.color-expert

@meodai

Give coding agents deeper color-science, accessibility, palette, and pigment-mixing expertise.

Project overview

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.

Stars: 525
Forks: 34
License: CC-BY-4.0

PluginResearch and knowledgeClaude

last30days-skill

@mvanhornPython

Research the past month across social platforms, developer communities, and the web.

Project overview

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.

Stars: 52,131
Forks: 4,539
License: MIT

Web appResearch and knowledgeModel Context Protocol

onyx

@onyx-dot-appPython

Self-host team AI chat, knowledge retrieval, research, and custom agents across LLMs.

Project overview

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.

Stars: 30,879
Forks: 4,248
License: Not declared

claude-code-reverse-engineering

claude-code-reverse-engineering

Project overview

Repository facts

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kernel-memory

skill.color-expert

last30days-skill

onyx