Plandex
Build real world software with AI
About Plandex
Plandex is an open-source, terminal-based AI coding agent designed to handle large-scale development tasks spanning multiple steps and dozens of files. It features a sandbox for reviewing AI-generated code changes before they hit production, configurable autonomy levels, and supports up to 2M tokens of context.
Pros & Cons
Pros
- Completely free and open-source under MIT license
- Handles large codebases with up to 2M token context window
- Sandbox review prevents bad AI code from entering production
- Multi-model support eliminates vendor lock-in
- Automated debugging loops reduce iteration time
- Version-controlled plans with branching for safe experimentation
Cons
- Terminal-only interface has a steeper learning curve
- Requires managing your own model provider API keys separately
- Windows support limited to WSL only
- No managed cloud offering (Plandex Cloud wound down Oct 2025)
- Primarily suited for experienced developers comfortable with CLI
Key Features
Terminal-Based Workflow
Runs entirely in the terminal as a CLI tool, fitting naturally into existing developer workflows
Sandbox Change Review
All AI-generated changes staged in an isolated sandbox as a cumulative diff before reaching production code
Configurable Autonomy
Adjusts from fully automated execution to granular step-by-step manual control
Large Context Window
Handles up to 2M tokens of context using tree-sitter-based project mapping
Multi-Model Support
Integrates with Anthropic, OpenAI, Google, and open-source providers via OpenRouter
Automated Debugging
Runs terminal commands and browser-based debugging loops to identify and fix errors automatically
Branching and History
Full version control for AI plans including branching and rollback
REPL Mode
Interactive REPL mode for iterative development sessions
Pricing
- Full open-source codebase (MIT)
- All features included
- Bring your own API keys
- Unlimited plans and projects
- No usage caps
Best For
Large Refactoring Projects
Sweeping refactors touching dozens of files with sandbox review keeping changes coherent and safe
Multi-File Feature Development
End-to-end feature implementation spanning models, controllers, tests, and documentation
Automated Bug Fixing
Debugging loops that identify failing tests, trace errors, and apply fixes autonomously
Self-Hosted AI Coding
Teams wanting AI coding assistance without recurring SaaS fees
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