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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Terminal AI agent that plans, codes, and debugs large projects
Plandex is a terminal‑based AI development tool that plans, implements, and debugs extensive coding tasks, handling up to 2 M tokens and integrating with multiple model providers for flexible, controlled automation.
Plandex targets developers who need AI assistance on sizable, multi‑file projects. Running entirely in the terminal, it lets you start a REPL inside any codebase, load only the files required for a step, and interact via a project‑aware chat.
The engine maintains an effective 2 M token context window, loading snippets on demand and caching results across OpenAI, Anthropic, and Google models. A cumulative diff sandbox isolates AI‑generated edits until you approve them, while built‑in debugging automatically runs builds, linters, tests, and even browser scripts. You can choose full autonomy—letting Plandex plan, code, and debug end‑to‑end—or step‑by‑step control, reviewing each change before it touches the repository. Model packs let you blend providers for cost, speed, or capability, and tree‑sitter project maps give fast syntax validation for over 30 languages.
Installation is a single curl … | bash command, with no external dependencies. For Windows users, run under WSL. Self‑hosting is supported via a lightweight Docker container, and the CLI can be scripted or piped into other tools. Git integration automatically generates commit messages and can push branches, making AI‑driven development fit cleanly into existing workflows.
When teams consider Plandex, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Full‑stack feature rollout
AI plans, implements, and tests the feature across multiple services, delivering a merge‑ready branch with passing CI.
Legacy code refactor
Plandex indexes a 20 M token codebase, updates APIs, and validates syntax, reducing manual effort and regression risk.
CI/CD pipeline automation
The agent generates build scripts, runs them, debugs failures, and commits a functional pipeline configuration.
Prototype scaffolding
Combining models, Plandex scaffolds front‑end and back‑end components, producing a runnable prototype ready for further development.
Native support for Linux and macOS; Windows users can run it inside WSL.
You provide API keys for the model providers you wish to use (OpenRouter, Anthropic, Google, etc.).
It uses a 2 M token effective context window, selective file loading, tree‑sitter project maps, and caching to keep performance stable.
Yes, you can set the autonomy level from full auto to manual step‑by‑step, reviewing each diff before applying.
The Plandex Cloud service is being wound down; the recommended approach is self‑hosting via Docker or running locally.
Project at a glance
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