If you use Claude Code, Cursor, or any AI coding agent for more than 30 minutes, you've hit this wall: the context window fills up, the agent starts forgetting which files you were editing, what tasks are in progress, and what you last asked for. It's not a model problem — it's a data routing problem. And there's a GitHub project with 17,032 Stars that's been solving it since February 2026, used by engineers at Microsoft, Google, Meta, Amazon, NVIDIA, and 13 other major tech companies.
Context Mode is an MCP server that sits between your AI coding agent and its tool outputs, sandboxing raw data so it never floods your context window. A 56 KB Playwright snapshot becomes 299 bytes. Twenty GitHub issues (59 KB) become 1.1 KB. That's a 98–99% reduction — and the agent still has access to everything it needs via semantic search.
Here are 5 hidden uses that most developers miss.
Hidden Use #1: Persistent Session Memory Across Context Compactions
What most people do: When Claude Code's context fills up and the model compacts the conversation, all the history of what files you edited, what errors you hit, and what tasks are in progress gets silently dropped. You start each "resume" from a blank slate.
