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Context Mode Cuts AI Agent Token Bloat by Up to 98% Before It Starts

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Context Mode is an open-source, MCP-based context management tool designed to prevent token bloat in AI agent workflows before it occurs, rather than compressing data after the fact. The system intercepts tool output at the source, stripping structural noise from responses such as large DOM snapshots and code search results. In testing, a 315KB Playwright page snapshot was reduced to 5.4KB, a 98% reduction, while a 100-result code search shrank by 92%. The tool also offers session continuity via SQLite FTS5, meaning context persists across restarts, and uses a batch-query approach to reduce redundant read operations. Developers can layer Context Mode alongside other tools like Headroom and tokdiet for compounded token savings across their AI agent stacks.

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