Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.
Track token usage across local AI agents (Claude Code, Codex) — Custom StatusLine, CLI Dashboard with cost analysis, rate limit monitoring, and session tracking
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
Security audit tool for Claude Desktop and Claude Code on macOS — single-command visibility into MCP servers, extensions, plugins, connectors, scheduled tasks, and permissions.
Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/Wechat/飞书. No hooks, no skills, no MCP.
Security testing toolkit for Claude Code: curated SecLists wordlists, injection payloads, and expert agents for authorized pentesting, CTFs, and bug bounties