plandex
plandex-ai/plandex
An AI coding agent designed for large tasks and real world projects.
Overview
Plandex is an open-source, terminal-based AI development tool written in Go. It assists with planning and executing complex coding tasks by handling large amounts of context directly or through tree-sitter project maps, keeping changes in a review sandbox until approved.
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Install
go get github.com/plandex-ai/plandexREADME
30-Second Install · Website · Docs · Examples · Local Self-Hosted Mode
An AI coding agent designed for large tasks and real world projects.
💻 Plandex is a terminal-based AI development tool that can plan and execute large coding tasks that span many steps and touch dozens of files. It can handle up to 2M tokens of context directly (~100k per file), and can index directories with 20M tokens or more using tree-sitter project maps.
🔬 A cumulative diff review sandbox keeps AI-generated changes separate from your project files until they are ready to go. Command execution is controlled so you can easily roll back and debug. Plandex helps you get the most out of AI without leaving behind a mess in your project.
🧠 Combine the best models from Anthropic, OpenAI, Google, and open source providers to build entire features and apps with a robust terminal-based workflow.
🚀 Plandex is capable of full autonomy—it can load relevant files, plan and implement changes, execute commands, and automatically debug—but it's also highly flexible and configurable, giving developers fine-grained control and a step-by-step review process when needed.
💪 Plandex is designed to be resilient to large projects and files. If you've found that others tools struggle once your project gets past a certain size or the changes are too complex, give Plandex a shot.
Smart context management that works in big projects
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🐘 2M token effective context window with default model pack. Plandex loads only what's needed for each step.
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🗄️ Reliable in large projects and files. Easily generate, review, revise, and apply changes spanning dozens of files.
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🗺️ Fast project map generation and syntax validation with tree-sitter. Supports 30+ languages.
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💰 Context caching is used across the board for OpenAI, Anthropic, and Google models, reducing costs and latency.
Tight control or full autonomy—it's up to you
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🚦 Configurable autonomy: go from full auto mode to fine-grained control depending on the task.
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🐞 Automated debugging of terminal commands (like builds, linters, tests, deployments, and scripts). If you have Chrome installed, you can also automatically debug browser appli