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Context Mode (GitHub Repo)
Context Mode reduces AI coding agent context window usage by 98% by sandboxing raw tool outputs and managing persistent state outside the LLM prompt.
What: Built for platforms like Claude Code, Cursor, and Gemini CLI, Context Mode acts as an MCP server that indexes session data in SQLite/FTS5. It replaces verbose raw data injection with agent-generated scripts that compute results in a sandbox, returning only the final values.
Why it matters: This reflects the growing industry focus on 'Context Optimization'—treating LLMs as logic engines that generate code to process data rather than data processors that consume large context windows.
Takeaway: Install the plugin for your preferred agent (e.g., `/plugin marketplace add mksglu/context-mode` in Claude Code) to reduce token consumption and prevent context loss.
Deep dive
- Implements sandbox tools (e.g.,
ctx_execute) to prevent raw data from entering the context window. - Uses FTS5 and BM25 search for relevant state retrieval, solving context window compaction issues.
- Requires Node.js 22.5+ or Bun for installation.
- Supports 17 platforms including Cursor, VS Code Copilot, and Gemini CLI.
- Includes a dashboard (
context-mode.com/insight) for tracking context savings.
Decoder
- MCP (Model Context Protocol): An open standard for connecting AI assistants to data sources and development tools.
- Compaction: The process where an AI agent summarizes or discards past messages to free up space in its limited context window.
- FTS5: A SQLite extension for Full-Text Search, used here to index and retrieve historical session data.
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