[GitHub Trending] mksglu/context-mode

8 relevance

Context window optimization with sandboxing and routing, highly actionable and relevant.

AI/ML github.com

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Why It Matters

For engineers building multi-agent systems or LLM-powered devtools, this directly tackles the context window bottleneck that degrades agent reliability and token economy.

Key Takeaways

Adopt sandboxed tool execution and script-based analysis to reduce context overhead by an order of magnitude in your agent workflows.

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

Summary

Context Mode is an MCP server that cuts LLM context usage by 98% by sandboxing raw tool output (e.g., Playwright snapshots, GitHub issues) into SQLite with FTS5 indexing and BM25 retrieval, preserving session continuity across compactions. It enforces a 'think in code' paradigm where agents write scripts instead of dumping data into context, and integrates as a Claude Code plugin with automatic hook-based routing across 17 clients.

Author

mksglu