
Headroom
A live gauge of your AI chat's remaining context
About Headroom
Headroom is an innovative open-source tool designed to provide users with a real-time gauge of their AI chat's remaining context. Built to address a common challenge in AI interactions—losing track of conversation history—Headroom helps users avoid unexpected forgetfulness by visually indicating how many tokens are left before the AI starts to forget earlier parts of the dialogue. It's particularly valuable for developers, researchers, and power users who rely on long, complex prompts and want to optimize their AI usage without the risk of losing critical context. Unlike many platforms that lack transparency into token limits, Headroom reads, counts, and discards text locally, ensuring privacy and no need for API keys or server calls. This makes it a lightweight, secure, and accessible tool for those working with models like ChatGPT, Gemini, and others, especially in environments emphasizing open source and customization.
Screenshots

Pros
- ✓Open-source and free to use, encouraging community development
- ✓Real-time, local token counting ensures privacy and no API dependency
- ✓Supports multiple AI models, including ChatGPT and Gemini
- ✓Helps prevent context loss in long conversations
- ✓Simple integration as a Chrome extension or standalone tool
Cons
- ✗Requires manual setup and understanding of token management
- ✗Limited to token counting, does not enhance AI capabilities directly
- ✗May not provide detailed analytics or advanced visualization
Use Cases
Pricing
Free and open source, with no associated costs. Users can freely download, modify, and contribute to the project.
Quick Info
Topics
Makers
周铭
@zm_badAlternatives
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