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Toad is an open source, terminal-first AI interface designed to unify multiple coding agents into a single workflow. It allows developers to interact with AI models directly inside the command line, making it easier to explore, understand, and modify codebases without leaving the terminal. Built in Python, it focuses on transparency and control by letting users load context intentionally and inspect how the AI processes files. Toad supports structured conversations, enabling navigation through code with clear references instead of opaque outputs. Inspired by notebook-style workflows, it allows reuse of previous interactions and exporting of results. Toad is vendor-agnostic, meaning it can work with different AI agents while maintaining a consistent user experience. It emphasizes developer intent over automation, keeping humans in control of decisions while using AI as a collaborative assistant for coding, refactoring, and analysis.
Features
- Unified terminal interface for multiple AI coding agents
- Structured conversations that map directly to code context
- Explicit context loading for transparency and control
- Notebook-like workflow with reusable interaction blocks
- Vendor-agnostic design supporting different AI models
- Built in Python with a focus on terminal-native workflows
Project Samples
