Context Gateway

Context Gateway

Context Gateway is a lightweight infrastructure tool designed to reduce latency and token usage for AI coding assistants like Claude Code, Codex, and OpenClaw. Instead of changing how developers interact with coding agents, it works underneath the workflow by compressing tool output while trying to preserve the context that actually matters.

The main problem the project targets is becoming increasingly common in AI-assisted development workflows: coding agents generate and consume massive amounts of context, which quickly increases latency, token spend, and overall operational cost. A large portion of that context is often repetitive, low-signal, or unnecessarily verbose.

Context Gateway sits between the coding agent and its tool outputs, compacting that information before it gets reintroduced into the model context window. The goal is not aggressive summarization, but smarter compression that keeps useful reasoning and execution state intact while reducing waste.

The project also includes a few practical quality-of-life features aimed at developers using AI coding tools heavily every day, including instant context compaction workflows and spend limits for Claude Code sessions. The setup is intentionally lightweight, with the product positioning itself more like an infrastructure utility than a full platform.

At a broader level, Context Gateway reflects a growing layer of tooling emerging around AI development environments themselves. As coding agents become more capable, the bottleneck increasingly shifts toward context management, memory efficiency, and operational cost rather than raw model capability alone.