
Context Gateway
Context Gateway is an AI proxy service that provides instant history compaction and context optimization for AI agents like Claude Code and Cursor, enabling seamless management of long conversations without context limitations.
https://github.com/Compresr-ai/Context-Gateway?ref=producthunt

Product Information
Updated:Mar 9, 2026
What is Context Gateway
Context Gateway, developed by YC-backed company Compresr, is a specialized middleware that sits between AI agents (such as Claude Code, Cursor, and OpenClaw) and their respective LLM APIs. It's designed to solve the common problem of context window limitations in AI conversations by implementing intelligent compression and optimization techniques. The gateway can be easily installed through a simple curl command and configured via an interactive TUI wizard, making it accessible for developers looking to enhance their AI agent workflows.
Key Features of Context Gateway
Context Gateway is an AI proxy tool that sits between AI agents (like Claude Code, Cursor) and LLM APIs to optimize context management through intelligent compression. It provides instant history compaction in the background, preventing delays when conversations hit context limits, while offering features like spend limit controls, Slack notifications, and support for multiple agent types. The gateway uses advanced compression models to reduce token usage and improve accuracy/latency without compromising quality.
Background Context Compression: Automatically compresses conversation history in the background before hitting context limits, eliminating waiting time for compaction when needed
Multi-Agent Support: Compatible with various AI agents including Claude Code, Cursor, OpenClaw, and custom configurations through a unified interface
Token Optimization: Achieves up to 200x compression without quality loss, reducing token spend and improving response latency
Monitoring & Control: Provides spend cap settings, Slack notifications, and detailed logging of compression activities
Use Cases of Context Gateway
Development Team Collaboration: Helps development teams maintain efficient AI-assisted coding sessions by managing context across long coding conversations
Enterprise AI Integration: Enables organizations to implement centralized governance and cost control over AI agent interactions across different departments
AI Research and Development: Assists researchers in optimizing AI model interactions by providing efficient context management and detailed performance logs
Pros
Zero-latency compression through background processing
Significant cost reduction through efficient token management
Flexible integration with multiple AI agents and platforms
Cons
Requires additional infrastructure setup and maintenance
Some compression models are not open-sourced
How to Use Context Gateway
Install Context Gateway: Run the installation command in terminal: curl -fsSL https://compresr.ai/api/download_cli | sh
Launch the Interactive TUI Wizard: Run 'context-gateway' command in terminal to open the Text User Interface wizard that will guide you through setup
Select an Agent: Choose from available agents: claude_code (Claude Code IDE integration), cursor (Cursor IDE integration), openclaw (Open-source Claude Code alternative), or custom (your own configuration)
Configure Settings: Set up the configuration including: summarizer model and API key, enable/disable Slack notifications, set trigger threshold for compression (default is 75%)
Start Using the Gateway: The gateway will now run in the background and automatically compress conversation history when it approaches context limits
Monitor Activity: Check logs/history_compaction.jsonl file to view compression activities and gateway operations
Access Dashboard (Optional): Access the Context Gateway UI at http://localhost:4444/admin using default credentials ([email protected] / changeme) to monitor and manage the gateway
Context Gateway FAQs
Context Gateway is a proxy tool developed by Compresr (YC-backed company) that sits between AI agents (like Claude Code, Cursor, etc.) and LLM APIs to provide instant history compaction and context optimization. It helps compress conversation history in the background to prevent waiting when hitting context limits.











