Github · GitHub Repository Radar
plandex-ai plandex
Open source AI coding agent. Designed for large projects and real world tasks.
Stars
15
Forks
1,177
Watchers: 15,619
Language
License: MIT License
Repository Radar Score
32 / 100
Growth
- 7d
- +0
- 30d
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- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Last observed: 4 days ago
Score breakdown
- popularity 33
- growth 0
- activity 15
- freshness 100
- community 90
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💻 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.
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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.
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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 applications.
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💬 A project-aware chat mode that helps you flesh out ideas before moving to implementation. Also great for asking questions and learning about a codebase.
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🧠 Easily try + combine models from multiple providers. Curated model packs offer different tradeoffs of capability, cost, and speed, as well as open source and provider-specific packs.
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🛡️ Reliable file edits that prioritize correctness. While most edits are quick and cheap, Plandex validates both syntax and logic as needed, with multiple fallback layers when there are problems.
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🔀 Full-fledged version control for every update to the plan, including branches for exploring multiple paths or comparing different models.
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📂 Git integration with commit message generation and optional automatic commits.
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🧑💻 REPL mode with fuzzy auto-complete for commands and file loading. Just run
plandexin any project to get started. -
🛠️ CLI interface for scripting or piping data into context.
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📦 One-line, zero dependency CLI install. Dockerized local mode for easily self-hosting the server. Cloud-hosting options for extra reliability and convenience.
curl -sL https://plandex.ai/install.sh | bashNote: Windows is supported via WSL. Plandex only works correctly on Windows in the WSL shell. It doesn't work in the Windows CMD prompt or PowerShell.
| Option | Description |
|---|---|
| Plandex Cloud | Winding down as of 10/3/2025 and no longer accepting new users. Learn more. |
| Self-hosted/Local Mode | • Run Plandex locally with Docker or host on your own server. • Use your own OpenRouter.ai key (or other model provider accounts and API keys). • Follow the local-mode quickstart to get started. |
export OPENROUTER_API_KEY=... # if using OpenRouter.aiIf you have a Claude Pro or Max subscription, Plandex can use it when calling Anthropic models. You'll be asked if you want to connect a subscription the first time you run Plandex.
First, cd into a project directory where you want to get something done or chat about the project. Make a new directory first with mkdir your-project-dir if you're starting on a new project.
cd your-project-dirFor a new project, you might also want to initialize a git repo. Plandex doesn't require that your project is in a git repo, but it does integrate well with git if you use it.
git initNow start the Plandex REPL in your project:
plandexor for short:
pdxPlease feel free to give your feedback, ask questions, report a bug, or just hang out:
- Follow @PlandexAI
- Follow @Danenania (Plandex's creator)
- Subscribe on YouTube
⭐️ Please star, fork, explore, and contribute to Plandex. There's a lot of work to do and so much that can be improved.
Languages
Share of the codebase by language, based on repository metadata from the host.
- Go 93.4%
- Shell 1.5%
- TypeScript 0.6%
- PLpgSQL 0.5%
- Python 0.4%
- C 0.3%
- HTML 0.3%
- Elixir 0.3%
- PHP 0.2%
- Java 0.2%
- Scala 0.2%
- Swift 0.2%
- Kotlin 0.2%
- Groovy 0.2%
- Elm 0.2%
- JavaScript 0.2%
- OCaml 0.2%
- Svelte 0.2%
- C# 0.2%
- Rust 0.1%
- C++ 0.1%
- Ruby 0.1%
- Lua 0.1%
- HCL 0.1%
- CSS 0.1%
- CUE 0.1%
- Dockerfile 0.1%
- Makefile 0.0%
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- Listed in our discovery index with public GitHub metadata for analysis.
Who should use it
- Developers working primarily with Go
- Teams exploring AI tooling, agents, or ML infrastructure
Potential use cases
- Reference or evaluate Go open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- README present in our index
- Declared license: MIT License
- Substantial fork count (1,177) suggests reuse and contribution interest
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Radar Score is modest — dig into activity and docs before committing
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.