context-mode

Context Mode is an MCP server designed to prevent context window exhaustion by offloading raw data into a sandboxed SQLite database. It tracks session events and uses BM25 search to retrieve only relevant information, ensuring the LLM maintains continuity during conversation compaction. Additionally, it encourages a code-first approach where agents write scripts to process data, significantly reducing token consumption.

Context Mode is an MCP server designed to optimize LLM context windows by preventing the accumulation of raw data from tool calls. It employs a sandbox-first architecture that offloads data processing to SQLite, utilizing FTS5 and BM25 search to retrieve only relevant information during conversation compaction. By shifting the paradigm from treating LLMs as data processors to code generators, the project significantly reduces token consumption and maintains session continuity across various AI development platforms.