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context-mode

MCPOpen source

MCP server that cuts AI coding agent context usage 98% via sandboxed tool output, SQLite session memory, and code-first

23kNOASSERTION

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.

Pros

  • +98% context reduction by sandboxing raw tool output
  • +Persistent session memory with SQLite FTS5/BM25 retrieval across compactions
  • +Works across 17 platforms via MCP plus hooks and OpenClaw gateway

Cons

  • −Source-available under ELv2, not a fully permissive OSI license
  • −Requires adopting the 'think in code' paradigm and hook setup per client
  • −Adds an MCP server dependency and SQLite state to manage

Target audience: Developers and teams running AI coding agents who hit context-window limits and need persistent, low-token sessions.

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