CTOP - Interactive Process Viewer for AI Coding Agents

Architecture Deep Research: deep research for strategic system design decisions.

You already have the agent. This is everything around it. great_cto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next builds on it, spending caps refuse rather than warn, and three decisions stay yours: what gets built, how, and whether it ships.

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

A claude code skill to delegate prompts to codex

Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at scale. Easily generate structured skill templates, automate workflow integration, and accelerate AI agent development with a clean, developer-friendly setup.

Control Claude Code, Codex CLI and Gemini CLI from Telegram. Live streaming, persistent memory, cron jobs, webhooks, Docker sandboxing.

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

A reference software factory for Claude Code and Codex

Connect your agent to the apps you already use - with or without Zapier.

A keyboard-first menubar app to monitor and jump between AI coding sessions — minimum setup required.

Production-Stage Visual Design & In-Codebase UI Engineering Suite

HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software factory workflows for Claude Code, Cursor, and Codex.

Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.

Workspace-based coding environment for running multiple Claude Code and Codex sessions in parallel.