# ranxianglei/billion\-context

billion\-context: Compress conversational context for month\-long AI sessions

- HackerByte page: <https://hackerbyte.net/en/projects/billion-context-compress-conversational-context-for-month-long-ai-sessions-1324949198>
- GitHub: <https://github.com/ranxianglei/billion-context>
- Programming language: TypeScript

A context\-compression plugin for month\-long single sessions \(billions of tokens\) ,small context windows \(a 100K context is enough\) and token savings \(5x fewer tokens\) .上下文压缩插件，月级长会话会话， 兼顾小窗口\(100k上下文足矣\)省token\(省5倍token\) . billion\-context is all you need

## AI-generated summary

billion\-context is a TypeScript plugin that compresses conversational context for AI models, enabling month\-long single sessions by reducing token usage significantly. It works by rewriting AI streams, allowing the model to incrementally summarize and decompress conversation history as needed, rather than relying on fixed truncation limits.

## Key points

- Enables month\-long AI sessions with billions of tokens via context compression.
- Achieves 5x fewer tokens and maintains a 100K context window for complex tasks.
- Uses incremental, reversible summarization allowing on\-demand decompression.
- Provides tools like \`compress\`, \`decompress\`, \`search\_context\`, and \`acp\_status\` for context management.
- Integrates with various AI clients including Claude, OpenAI Codex, Gemini, and more, offering native plugin or launcher modes.