Show HN: ATO – a GUI to see and fix what your LLM agents configured (github.com)

A new GUI tool named ATO (Agentic Tool Optimization) has been launched to streamline the management of multiple language model (LLM) agents, including Claude, Codex, OpenClaw, and Hermes. This multi-LLM control panel allows users to oversee coding tools, automate workflows, and configure cron jobs all in one dashboard. The open-source software supports macOS, Windows, and Linux, providing offline-first functionality and auto-detecting installed command-line interfaces. It enables seamless integration of workflows, allowing the mixing of different runtimes within the same process, which is particularly useful for developers working with diverse AI models. The significance of ATO lies in its ability to simplify interactions with various LLMs while enhancing usability and productivity. Key features include drag-and-drop skill management, automatic health monitoring, and real-time job execution tracking with color-coded statuses. Users can create, edit, and deploy skills in a user-friendly manner, leveraging an AI-powered system to generate necessary skill documentation. ATO represents a notable advancement in the AI/ML community by fostering interoperability between different LLMs, encouraging collaboration, and enabling more efficient coding practices. The roadmap indicates future expansions, including real-time monitoring and cloud integrations, further enhancing its capabilities.