@jakevin7: OpenCLI supports many AI CLIs like Grok, ChatGPT, and many more! Many people may not realize how powerful this is. For example, you can use `opencli grok` to directly search and analyze Twitter content. I just had Grok...

OpenCLI supports many AI CLIs like Grok, ChatGPT, and many more! Many people may not realize how powerful this is. For example, you can use `opencli grok` to directly search and analyze Twitter content. I just had Grok search for discussions about optics and storage on Twitter. One line of command: `opencli grok ask "Discussions on Twitter about optics and storage"`. In 7 seconds, it thought through and clearly outlined several lines of investigation: CPO / optical modules / 5D glass / holographic storage, and even listed industry chain companies like LITE / COHR / TSEM. Suddenly I realized that OpenCLI has already integrated almost all available AIs—ChatGPT, Claude, Gemini, Grok, Codex, Cursor, DeepSeek, Qwen, Doubao, Yuanbao, NotebookLM... there's a web version and a desktop app. They are all flattened into the same set of commands: `ask` / `send` / `read` / `new` / `history`. No API needed, no keys required—everything reuses your browser login session. Whatever you can chat about on the web, the Agent can do for you. The real pleasure isn't asking one model; it's getting them to work together: Grok finds real-time discussions on Twitter → Claude summarizes them into a structured format → ChatGPT drafts an initial post → `opencli twitter post` publishes it in one line. A single pipeline from start to finish. Previously, multi-model collaboration meant writing SDK wrappers. Now it's just chaining commands. AI capabilities can finally be orchestrated together.