Rapunzel
Tree-style tabs for Claude Code, Codex, and Gemini CLI agents
What is Rapunzel?
Rapunzel adds tree-style tab management to CLI-based AI coding agents including Claude Code, Codex CLI, and Gemini CLI. Manage multiple agent sessions in a single terminal with visual tree navigation and quick switching.

Developer Stack Fit
Quick read on where Rapunzel fits in a software team's AI stack. Validate final fit against your codebase, data policy, and deployment model.
- Stack layer
- Coding Agents
- Deployment model
- Open-source deployable
- Open-source status
- Yes or source-available
- API support
- API or integration-friendly
- MCP support
- No MCP signal found
- Security posture
- Review vendor privacy and data retention
- Best use case
- Professional use
Key Features
- 01
AI-powered functionality
AI-powered
Pros & Cons
What stands out
- Free to start
- Active development
- Growing community
Watch outs
- New product
- Limited integrations yet
Pricing Plans
Rapunzel Pricing
Choose the perfect plan for your needs. All plans include our core features with different usage limits and advanced capabilities.
Need a Custom Solution?
Looking for enterprise features or custom pricing? Contact Rapunzel directly for tailored solutions.
Contact SalesMost teams land on the Open Source plan.
Alternatives
FAQ
What is Rapunzel and how does it work?
Rapunzel is a development tool that tree-style tabs for claude code, codex, and gemini cli agents. It uses AI to help users improve productivity through analyzing input and generating relevant output.
Is Rapunzel free to use?
Rapunzel offers a completely free plan. You can get started without paying anything.
Is there a free plan or trial?
Rapunzel doesn't offer a traditional free trial, but provides a money-back guarantee on paid plans.
What can Rapunzel do?
More development Tools
Cursor
AI-powered code editor with autonomous agents, multi-model support, and Automations for triggering agents via code changes, Slack, or timers.
Read review →TurboQuant
Revolutionary KV cache compression achieving 6x memory reduction and 8x speedup for LLM inference with zero accuracy loss.
Read review →Ollama
Local-first LLM runtime for running models on your hardware with local privacy, no per-token API costs, and offline-capable workflows.
Read review →Affiliate Disclosure: We may earn a commission when you purchase through links on our site. This doesn't affect our editorial independence or the price you pay.
Rapunzel
Free