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An MCP server that solves the context window problem by sandboxing tool outputs to reduce context usage by up to 98%, maintaining session continuity via SQLite-backed FTS5 indexing across conversation compactions, and enabling agents to program analysis instead of reading raw data.

A diagnostics skill within Context Mode that validates runtimes, hooks, FTS5, and plugin registration. Context Mode is an MCP server that reduces context window consumption by up to 98% through sandbox execution, session continuity, and code-first analysis.

Context Mode solves the context persistence problem for AI coding agents by providing a structured system to maintain project knowledge across chat sessions. Widely adopted across engineering teams at major tech companies, it reached #1 on Hacker News with 570+ points.

A Context Mode utility skill that displays per-tool context savings breakdowns, tokens consumed, and savings ratios, helping developers monitor how efficiently their AI coding agent uses the context window.

An MCP server that reduces context window consumption by up to 98% through sandboxed tool execution, SQLite-backed session continuity, and a "think in code" paradigm that replaces multiple tool calls with single script executions.

An MCP server that reduces context window consumption by up to 98% through sandbox tools that keep raw data out of the conversation. It provides session continuity via SQLite-backed event tracking with FTS5 search, encourages a "think in code" paradigm to replace multiple tool calls with single scripts, and supports 15+ AI coding platforms.

Context Mode solves the "other half of the context problem" for AI coding assistants by automatically analyzing and managing project context. Used at major companies like Microsoft, Google, and Meta.

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