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Plandex

Open source AI coding agent designed for large projects and real world tasks

★ 15,509 GitHub MIT ai-coding-agentclideveloper-toolsgolangai-agentsterminal AI Agents

Overview

Plandex is an open-source, terminal-based AI coding agent purpose-built for large-scale projects and real-world development tasks. Unlike lightweight AI assistants that struggle beyond small codebases, Plandex handles up to 2 million tokens of effective context and can index directories with 20M+ tokens using tree-sitter project maps. It supports 30+ programming languages and works seamlessly with major AI providers including Anthropic, OpenAI, Google, and OpenRouter. Plandex features a unique cumulative diff review sandbox that keeps AI-generated changes separate from your project files until you are ready to apply them. It offers configurable autonomy - from full auto mode where it plans, implements, debugs, and iterates independently, to fine-grained step-by-step control. Key capabilities include automated debugging of terminal commands, browser debugging with Chrome, project-aware chat mode, version control for every plan update, and git integration with auto-commit messages. The tool is written in Go and provides a REPL mode with fuzzy auto-complete, a CLI interface for scripting, and Docker-based self-hosting. It includes curated model packs that balance capability, cost, and speed, and supports context caching across OpenAI, Anthropic, and Google models for reduced costs and latency. With over 15,000 GitHub stars and 9,000+ Docker pulls, Plandex is a proven solution for developers who need an AI coding agent that does not fall over when projects get complex.

Requirements

Min vCPU
1
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  plandex:
    image: plandexai/plandex-server:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/plandex:/data

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