mksglu/context-mode: Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
Why CEREBRO kept it
Context optimization, MCP, token reduction for agents — exactly on-topic
The text below is an automated extraction of the article at https://github.com/mksglu/context-mode, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
The other half of the context problem. Every MCP tool call dumps raw data into your context window. A Playwright snapshot costs 56 KB. Twenty GitHub issues cost 59 KB. One access log — 45 KB. After 30 minutes, 40% of your context is gone. And when the agent compacts the conversation to free space, it forgets which files it was editing, what tasks are in progress, and what you last asked for. On top of that, the agent wastes output tokens on filler, pleasantries, and verbose explanations — burning context from both sides. Context Mode is an MCP server that solves all four sides of this problem:
Who builds this
mksglu is profiled here from public GitHub push activity.
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