Compresr-ai/Context-Gateway

Context Gateway is an agentic proxy that enhances any AI agent workflow with instant history compaction and context optimization tools

What it solves

It eliminates the waiting time associated with context window limits in AI agents. When conversations become too long, the system typically needs to pause to compact or summarize history; Context Gateway handles this process in the background so the user experience remains seamless.

How it works

The tool acts as a proxy (gateway) between an AI agent (such as Cursor or Claude Code) and the LLM API. It monitors the conversation length and triggers a background compression process once a specific threshold (default 75%) is reached, pre-computing summaries so that history compaction is instant when needed.

Who it’s for

Developers using AI-powered IDEs or agents like Claude Code, Cursor, and Openclaw who want to avoid latency during long conversations.

Highlights

  • Background history compaction to prevent latency
  • Interactive TUI wizard for easy setup
  • Support for multiple agents including Claude Code and Cursor
  • Configurable compression thresholds and summarizer models

Related

  • Project
    headroomlabs-ai/headroom

    A context compression layer for AI agents that reduces input and output tokens by 15-95% using content-aware compressors and a reversible caching system.

  • Project
    yvgude/lean-ctx

    A local context engineering layer for AI coding agents that compresses file reads and request history to reduce token usage by 50-80% and lower API costs.

  • Dispatch
    How Compaction Works in Pi

    Pi manages LLM context overflow by using a specialized summarization assistant to compress older conversation history into a structured summary of goals, progress, and key decisions.

  • Project
    larsderidder/context-lens

    A local proxy that captures LLM API calls from AI coding tools to provide a detailed visual breakdown of context window composition and token costs.