Highlights
- Pro
Stars
Local-first issue tracking for AI-assisted software work, with an agent-friendly CLI and human-facing TUI
A single interface to use and evaluate different agent frameworks
Distribute and run LLMs with a single file.
The agent that grows with you
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
Use Claude Code's autonomous agent loop with DeepSeek V4 Pro, OpenRouter, or any Anthropic-compatible backend. Same UX, 17x cheaper.
🎨 Local-first, open-source alternative to Anthropic's Claude Design. ⚡ 19 Skills · ✨ 71 brand-grade Design Systems 🖼 Generate web · desktop · mobile prototypes · slides · images · videos · HyperFra…
MCP Server for use with Monarch Money
Iterative development methodology plugin for Claude Code — extracts requirements, defines walking skeleton, loops through audited sprints autonomously
Reverse engineer clean behavioral specs from any codebase
Browser automation CLI for AI agents
Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
AeroSpace is an i3-like tiling window manager for macOS
Convert AI coding agent sessions (Claude Code, Cursor, Codex, Gemini, OpenCode) into self-contained, embeddable HTML replays
Beads - A memory upgrade for your coding agent
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
JSON schema for machine-actionable and FAIR posters
William Strunk Jr.'s Elements of Style (1918) in markdown format for AI agents
AGENTS.md — a simple, open format for guiding coding agents
Show usage stats for OpenAI Codex and Claude Code, without having to login.
A collection of advanced CSS styles to create realistic-looking effects for the faces of Pokemon cards.
A high-throughput and memory-efficient inference and serving engine for LLMs
A smart library that automatically positions elements depending on their size in a grid to create responsive and beautiful layouts.
Python Script for Structuring data from SEC Form D filings using DuckDB and Python with a display layer using Evidence