Context Gateway

Make Claude Code faster and cheaper without losing context

#Automation #Artificial Intelligence #Developer Tools

Context Gateway Introduction

Context Gateway is a tool developed by Compresr, a YC-backed company, that acts as a proxy between AI agents like Claude Code and LLM APIs to compress conversation history and tool output. It reduces latency and token costs by automatically compressing context in real-time without losing critical information, with setup taking less than a minute and including features like instant compaction and spend limits.

Key Features

Compresses context to reduce latency and token spend
Preserves important information during compression
Quick setup with a TUI wizard in under a minute
Instant background context compaction for seamless use
Configurable spend limits to control costs

Use Cases

AI developers using Claude Code for coding assistance to maintain efficient, long conversations
Teams building AI agents that integrate with LLMs to manage and optimize conversation history
Startups embedding AI features in products to reduce API costs and improve performance
Researchers or hobbyists working with AI tools to handle extensive project conversations without slowdowns

Why Startups Use It

Startups need Context Gateway to manage the high and variable costs of AI API usage, which can strain limited budgets as they scale. By reducing token spend and improving response times, it enables startups to build more efficient and competitive AI-powered features without sacrificing quality.

Alternative Options

LangChain for context management, OpenAI API with manual truncation, custom caching solutions, RAG systems like Pinecone

Frequently Asked Questions

What is Context Gateway?

Context Gateway is a proxy service that sits between AI agents and LLM APIs, compressing conversation history and tool output to make interactions faster and cheaper while preserving context.

How does it work?

It automatically compresses context in the background before sending requests to the LLM API, reducing token usage and latency without manual intervention.