Mentat is an open-source, terminal-native AI coding assistant designed to coordinate multi-file changes by ingesting repository context directly from the command line. Built for developers who favor keyboard-driven and headless workflows, it operates with a developer-in-the-loop approach where generated code diffs are reviewed and approved before application. In practical usage, Mentat reads repository structures, dependencies, and file contents to build contextual awareness for code generation, refactoring, and code review tasks. It interfaces directly with local files and allows developers to inspect proposed atomic diffs, review conversation history, and commit or discard changes straight through Git integration. Mentat supports pluggable LLM backends, including OpenAI, Anthropic Claude, and custom or local endpoints such as Ollama, vLLM, and LM Studio using OpenAI-compatible APIs. Mentat differentiates itself through its multi-file atomic editing capabilities coupled with strict developer-in-the-loop review semantics. Rather than focusing on single-line completions like traditional IDE plugins, Mentat executes cross-file refactors and architectural edits across mixed-language projects while keeping code changes bound to the local filesystem without mandatory cloud dependencies. The core CLI tool is open-source and free, relying on user-provided API keys or self-hosted local infrastructure. Paid tiers starting at $15/month are available for teams requiring priority support and managed cloud inference.
Tags: cli, code assistant, coding agent, OpenSource, terminal