About Plandex
Plandex ranks #13 of 19 in AI Code Agents, holds a 4.3/5 editor rating, starts at Free (open-source).
Plandex is an open-source terminal-based AI coding agent with 14,000+ GitHub stars, designed for large multi-file projects with up to 2M tokens of context, branchable plans, and a diff sandbox for safe iteration. Self-hostable and bring-your-own-key after the cloud service wind-down.
“Plandex is the best open-source terminal-based AI coding agent for large multi-file projects, with a thoughtful diff sandbox and plan-branching workflow that make it unusually safe for serious refactors. The cloud wind-down is a minor speed bump but the self-hosted path is solid.”
What is Plandex?
Overview
Plandex is one of the most thoughtful open-source AI coding agents on the market, built specifically for developers who work on large multi-file projects in the terminal. With 14,000+ GitHub stars and a passionate community, it has carved out a niche between Cursor (an IDE) and Claude Code (a more general-purpose terminal agent) by focusing on the workflow of planning, reviewing, and applying changes across dozens of files.
The project is open-source under an MIT license. Plandex previously offered a hosted Cloud service, which is winding down in 2026 in favor of the self-hosted and local modes. The reasoning, per the maintainers, is that the self-hosted path gives developers the best privacy, control, and economics. You bring your own keys for OpenAI, Anthropic, Google, Ollama, or any compatible provider.
Core Features
Plandex's core idea is the plan as a first-class object. Every task is a plan with its own context, branches, conversation history, and pending changes. You can branch a plan to try alternative approaches, roll back to a checkpoint, or merge changes incrementally. This makes Plandex unusually safe for large refactors - you never lose work and can always inspect what changed before applying it.
The diff review sandbox is where Plandex shines. The agent stages all proposed changes in a sandbox separate from your working directory. You review the diffs, accept some, reject others, and only the approved changes hit your repo. For multi-file refactors that span 20 or 30 files, this is dramatically safer than letting an agent write directly to disk.
Plandex supports up to 2 million tokens of context, which means it can hold an entire mid-size codebase in working memory. Smart context management and tree-sitter project maps keep the model focused on the relevant files for each task.
Full auto mode runs the agent end to end with minimal interaction, while granular step-by-step control is available for tasks where you want to inspect each step. The agent can execute commands, debug failures, and roll back automatically if something breaks.
Pricing Analysis
Plandex is open-source and free. The Plandex Cloud hosted service is winding down, so all users now self-host or run in local mode with their own LLM API keys. Costs come from the underlying provider (OpenAI, Anthropic, etc.) - typical heavy users spend $20 to $100 per month in API costs depending on usage.
For teams comfortable managing API keys, this works out cheaper than a per-seat SaaS like Cursor at scale, especially when paired with cheaper models from DeepSeek, Qwen, or local Ollama for routine tasks.
Who Should Use Plandex
Plandex is the strongest choice for terminal-loving developers working on large codebases where multi-file refactors are common. It is particularly good for backend engineers, infrastructure work, and any team that prefers tmux-and-vim over a graphical IDE.
It is less suited for beginners who want a polished GUI - this is a CLI-first tool that assumes comfort with terminal workflows. Frontend developers who lean on browser preview will also find Cursor or Bolt more productive.
Pros
- Open-source under MIT license with 14,000+ GitHub stars and active development
- Up to 2 million tokens of context lets the agent hold a mid-size codebase in working memory
- Diff review sandbox keeps proposed changes separate from your working directory until you approve
- Branchable plans let you try alternative approaches and roll back without losing work
- Provider-agnostic - works with OpenAI, Anthropic, Gemini, Ollama, and any compatible model
Cons
- Plandex Cloud is winding down, so you self-host or run in local mode (some operational effort)
- Terminal-only - no GUI for developers who prefer a graphical IDE
- Frontend developers who rely on live preview will find Cursor or Bolt more productive
How to Use Plandex
- 1Install Plandex
Run the one-line installer or download a binary from GitHub. Plandex works on macOS, Linux, and Windows.
- 2Configure a Model Provider
Set API keys for OpenAI, Anthropic, Gemini, or your preferred provider. Ollama works for local models.
- 3Create a Plan
Use `plandex new` to create a plan, then `plandex load` to add relevant files or directories as context.
- 4Describe the Task
Tell Plandex what you want done. It builds a plan, executes step by step, and stages all changes in a sandbox.
- 5Review and Apply Diffs
Run `plandex diff` to inspect proposed changes. Apply selectively, reject what you do not want, or roll back entirely.
- 6Branch for Alternatives
Use plan branching to try a different approach without abandoning the original work. Switch between branches freely.
Key Features of Plandex
AI Capabilities
8Every task is a first-class plan with its own context, branches, and conversation history
Proposed changes are staged separately from your working directory until you approve them
Branch a plan to try alternative approaches without losing the original work
Holds a mid-size codebase in working memory for coherent multi-file changes
Smart context management uses syntax-aware maps to focus the model on relevant files
Run the agent end to end with minimal interaction, or step through manually for control
Runs shell commands, executes tests, and debugs failures with automatic rollback
Works with OpenAI, Anthropic, Gemini, Ollama local models, and any compatible provider
Privacy & Security
2Run on your own infrastructure with full control over data and model providers
14,000+ GitHub stars under MIT license - inspect, fork, or embed freely
Key Specifications
| Attribute | Plandex |
|---|---|
| Vs | [object Object],[object Object],[object Object] |
| Strengths | Open source (MIT, 14K+ stars),2M token context window,Diff review sandbox,Plan branching for safe experimentation,Provider-agnostic |
| Weaknesses | Plandex Cloud is winding down,Terminal-only, no GUI,Less suited for frontend live-preview work,Self-hosted setup requires effort |
Integrations
- AI Model
- OpenAIAnthropic ClaudeGoogle Gemini
- Local Model
- Ollama
- Version Control
- Git
- Shell
- Terminal
- Parser
- Tree-sitter