GitHub 2026-11-06 Monthly Trending Projects

A local reverse-engineering tool connecting MCP agents to Hopper, Ghidra, and app runtime behavior, with evidence and limitations.

A tool that ports PS5 executables to native Linux and Windows formats without emulation or a separate runtime process.

A coding-agent skill for security engineers that uses six phases and independent verification instead of one-shot scanning.

Hallmark is an LLM design skill for Claude, Cursor, and Codex that generates self-contained HTML/CSS pages using macrostructures, 20 themes, and 57 quality gates—suited for teams needing portable design templates and controlled AI output; however, repository activity and compatibility should be evaluated before production use.

Hyperframes renders deterministic videos from plain HTML, combining AI-agent-driven authoring and adapter-based animations to power automated content pipelines and repeatable video production.

VoiceStudio is a local-first, multi-engine speech platform for cloning, dubbing and long-form audio production, aimed at teams prioritizing data privacy and self-hosted, high-throughput workflows.

An SRE framework for security analysts to reverse-engineer multi-platform binaries interactively or automatically.

A memory plugin for Claude Code users that recalls session knowledge automatically with SQLite, Chroma, and lifecycle hooks.

T3 Code is a minimal web GUI and cross-platform desktop for Codex/Claude coding agents, enabling quick validation of agent workflows; it is very early-stage with limited maintenance and contribution paths, suitable for exploratory trials and proof-of-concept.

Impeccable supplies an LLM-driven frontend design skillset—commands and references to audit, polish, and extract UI patterns—enabling teams to apply consistent design best practices across AI tools.

Role-focused customizable plugins to integrate tools and codify workflows for Claude, improving team consistency.

DeepTutor centers on an agent-native architecture that combines TutorBots, persistent memory, and RAG knowledge bases to deliver an extensible personalized tutoring and collaborative workspace—well suited for autonomous learning, teaching automation, and knowledge-driven conversational education products.