GitHub 2026-03-25 Weekly Trending Projects

MoneyPrinterV2 is an automation toolkit combining social bots, short-video publishing and affiliate promotion, intended for users with Python skills to deploy and customize.

Offline-first server with local AI, offline Wikipedia and education content.

Native HUD for Claude Code that visualizes context, tools and agents for terminal debugging.

TradingAgents constructs a modular, configurable research pipeline of role-based LLM agents, supporting multi-provider models and simulated execution—suited for academic and R&D strategy validation but not investment advice.

Everything Claude Code delivers a production-grade toolchain for agent harness performance and governance—covering skills, hooks, memory persistence, and security scanning—suited for teams requiring cross-platform parity and measurable quality gates.

Superpowers provides a composable skills library and TDD-enforced agent workflow for Claude Code, enabling end-to-end automation from design and planning to subagent execution, with plugin integration and extensibility.

MiroFish is a multi-agent, long-memory simulation prediction platform that maps real-world seed data into high-fidelity digital worlds, enabling natural-language-driven scenario simulations and automated report generation for public opinion, policy and creative sandboxing, while requiring attention to licensing and operational risks.

Unsloth delivers a memory-friendly fine-tuning and RL toolchain for research and engineering, supporting multiple models and free notebooks—great for low-cost prototyping and experiments, but production readiness and performance reproduction require careful evaluation.

Extensible super-agent runtime with skills, sandbox execution and memory.

An engineering‑oriented tool for short‑video production that integrates multiple LLMs and voice synthesis, offering Web UI, API, batch generation and subtitle/music management. Suited for teams automating content output, though deployment complexity and compliance require additional effort.