💻 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 portable data folder and includes a resume command for interrupted sessions. That matters more to me than a flashy UI feature because an agent becomes useful over time only if its working context is not constantly thrown away. There is also a browser dashboard with a chat-style interface, agent mode, tool cards and a thinking visualization. So you are not limited to a terminal-only experience. The local-model optimization is surprisingly aggressive Running a coding agent against a small Ollama model on CPU can be painfully slow because the agent itself sends a large system prompt. OpenClaude-Portable includes a local proxy that trims that prompt before sending it to Ollama. The repository says it reduces the prompt from roughly 10,000 tokens to around 300 for this local path, and reports typical first-token latency improving from 60-120 seconds to roughly 5-20 seconds on CPU-only hardware. I would treat those numbers as project-reported rather than universal benchmarks, but the idea is smart: optimize the agent protocol for the limitations of small local models instead of pretending local and cloud inference behave the same way. The base installation is small The project itself needs roughly 150 MB for the runtime and engine. Local models are the part that grows quickly, with the repository suggesting roughly 800 MB to 8 GB depending on the Ollama model. That makes a portable setup realistic. One warning from the README is worth repeating: first-time installation on slow USB media can take 10-15 minutes. A USB 3.x drive or doing the initial setup on internal storage and copying the completed folder back is a better experience. What I would use it for I would not move my primary development environment onto a random flash drive. But I absolutely see value in a prepared portable agent for: travel a backup machine a recovery environment temporary workstations offline coding with a small local model testing different providers without rebuilding config For me, OpenClaude-Portable is interesting because it treats the coding agent as part of the project environment instead of part of the computer. I want more developer tools to work that way.