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Context Mode (GitHub Repo)
Context Mode is an MCP server that compresses AI coding agent context by 98% while maintaining persistent memory of file edits and git operations.
What: Context Mode tracks session data like git status and file changes in an indexed SQLite database rather than dumping raw logs into an LLM's context window. It supports 17 clients, including Claude Code, Cursor, and VS Code Copilot, to provide session continuity even when agents compact their memory.
Why it matters: LLM agents waste significant context space on repetitive tool outputs and filler content; moving to an indexed retrieval model allows agents to work on large projects without losing track of long-running tasks or state.
Takeaway: If your AI agent keeps 'forgetting' file states after a conversation reset, install the context-mode plugin via your agent's marketplace or CLI configuration.
Deep dive
- The tool uses FTS5 and BM25 search to retrieve only relevant context snippets based on agent needs.
- It forces agents to 'think in code' by executing small analysis scripts rather than reading entire directory trees into the chat window.
- The plugin system registers hooks to pre-emptively route data through the context-mode server instead of native tool outputs.
- It tracks user decisions and file edit histories in persistent storage, preventing loss during standard context-window truncation.
- Routing is programmatically enforced in supported platforms, which directs the LLM to use optimized retrieval tools instead of raw system commands.
Decoder
- MCP (Model Context Protocol): An open standard for connecting AI assistants to systems and data sources, allowing for standardized tool usage across different IDEs and agents.
- Context Window: The limit of information (in tokens) that an LLM can process at one time; when this limit is reached, older information is typically pruned or forgotten.
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