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Refact.ai is an open-source, local-first agentic coding engine that runs from a developer's machine and connects only to the model providers, local runtimes, repositories, databases, browsers, shells, and tools the developer configures. The current architecture uses a local Rust engine with a resident daemon, terminal interface, browser-based GUI, per-project workers, and thin IDE clients for VS Code and JetBrains. It supports autonomous coding tasks, repository search, AST-aware symbol analysis, file creation and patching, shell and process execution, Git checkpoints, rollback, worktrees, subagents, task planning, memory, knowledge, context compression, scheduled jobs, MCP, reusable skills, commands, hooks, marketplace extensions, code completion, chat, voice input, browser automation, and integrations with GitHub, GitLab, Bitbucket, Docker, PostgreSQL, MySQL, command-line tools, and custom services. Developers can use Bring Your Own Key providers including OpenAI, Anthropic, Gemini, DeepSeek, OpenRouter, Groq, xAI, and OpenAI-compatible endpoints, or run local models through Ollama, LM Studio, vLLM, and other supported runtimes. Refact Cloud is being retired in 2026. Hosted Refact accounts, managed inference, cloud-issued credits, subscriptions, remote workspaces, cloud telemetry, and team cloud features will no longer be part of the product. The future product is open source and community maintained, with model charges paid directly to configured providers and local infrastructure operated by the user. Refact.ai is strongest for developers and technical teams that want an inspectable local coding agent, flexible provider choice, local data control, extensible tools, and deeper workflow automation than a simple autocomplete plugin. It requires technical ownership: users must install and update the local engine, configure providers or runtimes, secure credentials, review tool permissions, manage local data, and validate agent-generated changes.

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