16 skills found
swjturay / codex-agy-delegatorAn MCP server for delegating repetitive coding tasks from Codex to Antigravity workers in isolated Git worktrees.
boykush / scrapsThe Wiki-link doc compiler for the LLM era.
mormorbump / 00_basicfsmによる状態遷移のサンプル
NiclasOlofsson / mode-manager-mcpMCP Memory Agent Server - A VS Code chatmode and instruction manager with library integration
omrikais / skill-managerUnified skill manager for Claude Code and Codex CLI
WPeace-HcH / wpegpt-analyzer驱动 IDA 配合 WPeGPT 插件对二进制可执行文件（PE/ELF）进行自动化逆向分析，输出包含程序用途、网络 IoC、可疑函数及漏洞评估的结构化报告。
MatthewZMD / aidermacsAI Pair Programming in Emacs with Aider
AVIDS2 / memorixOpen-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
tninja / aider.elAI assisted programming in Emacs with Aider
AmrDab / clawdcursorclawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.
tobs-code / a-mem-mcp-serverA-MEM Agentic Memory System - MCP Server for IDE Integration (Cursor, VSCode) | Dual-Storage: ChromaDB + NetworkX DiGraph with explicit typed edges | Based on Zettelkasten
headroomlabs-ai / headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
memtomem / memtomemMarkdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.
olimorris / codecompanion.nvim✨ AI Coding, Vim Style
Lyellr88 / marm-memoryLocal-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
MinishLab / sembleFast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
