An MCP server designed to optimize the working context of AI agents. It prevents context bloat and the "Lost in the Middle" phenomenon by distilling action histories into concise summaries while maintaining a clear core objective. AIエージェントのワーキングコンテキストを最適化するためのMCPサーバーです。行動履歴を簡潔な要約へと蒸留し、明確な大目標を維持することで、コンテキストの肥大化と「Lost in the Middle」現象を防ぎます。
Cross-referenced across 55 tracked directories
#52205
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
5/2/2026
Created
1
GitHub Stars
5/2/2026
Last Commit
Recently added to the ecosystem
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