I Want More Coding Agents to Work Like This

💻 One thing I dislike about coding-agent setups is how quickly they become part of one specific machine. Provider config goes in one place, session state somewhere else, local models live in another directory, and suddenly moving to a second machine means rebuilding the environment. OpenClaude-Portable takes a much cleaner approach. It packages the coding agent, runtime and persistent data into a self-contained folder. It supports cloud and local models in the same setup The project currently supports 9 provider options: Anthropic Claude OpenAI Google Gemini DeepSeek OpenRouter NVIDIA NIM Ollama LM Studio custom OpenAI-compatible APIs I like this because the portable part is not tied to one model vendor. I can use a cloud model when I want the strongest hosted option, then switch to Ollama or LM Studio when I want a local workflow. The important caveat is simple: cloud providers still need internet. Ollama can run offline after the initial setup. The "zero footprint" idea is more useful than it sounds The project redirects its persistent data into a local data folder. That includes provider settings, API keys, logs, session history, agent memory and local Ollama files. According to the repository, it does not write configuration into the host system. For me, this is the real feature. I do not care that the agent happens to be on a USB drive. I care that I can move the folder and keep my environment with it. 💾 There are two very different ways to run the agent The launcher offers a normal mode that asks before file writes or shell commands. There is also an optional Limitless mode that can run without approval prompts. I like that these are explicit choices rather than one hidden permission switch. For normal development I would keep approval mode on. For a disposable test project or a controlled autonomous task, the second mode could be useful. Sessions can survive the move Another practical detail is session resume. The project stores session history inside the por