openclaude is an open-source coding agent for the terminal that talks to any model and keeps each change reviewable. It is described as model-neutral and as an alternative to a chatbot wrapper or IDE plugin, aimed at coding tasks that run in a real repository.
The agent loop is built around development actions rather than chat alone. It can read files, edit files, grep, glob, run bash commands, and use mcp servers and skills inside the loop. The site shows it reading a source file, grepping for a symbol, editing code, and running tests, then reporting that the changes are complete and the tests are green. It also supports non-interactive --print mode with JSON and stream-JSON output, tool allowlists, budgets, and session control, and it offers streaming so users can watch the agent think, call tools, and produce diffs live.
openclaude supports OpenAI, Gemini, Codex, Ollama, LM Studio, LiteLLM, GitHub Models, gateways, OpenRouter, DeepSeek, Groq, Mistral, NEAR AI, Xiaomi MiMo, Bedrock, Vertex, OAuth, Atomic Chat, and any OpenAI-compatible endpoint. Provider switching can be done with one command, and the page says a provider can be wired once and then switched mid-session. It also includes per-repository profiles that store the model, base URL, authentication, and runtime defaults, plus persistent sessions that can resume, branch, and rewind conversations. Background tasks, worktree isolation, and remote control from a phone are also listed.
It is delivered as a CLI and installed with npm using @gitlawb/openclaude@latest. The page says it requires Node 20 or higher. Licensing is open source, and the site describes the project as gitlawb-aligned.
In the Autonomous agents & workflows space, openclaude takes a focused approach. It focuses on automating coding tasks and agent workflows in the terminal using any AI model. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the command line, and it can be self-hosted.
Behind openclaude is Gitlawb, and it first shipped in 2026. The project is developed in the open on GitHub with 29.6k stars and 812 commits in the last 90 days. Key capabilities include CLI agent, multi-model support, and code editing. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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