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l33tdawg/sage

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[![s-age MCP server](https://glama.ai/mcp/servers/l33tdawg/s-age/badges/score.svg)](https://glama.ai/mcp/servers/l33tdawg/s-age) 🏎️ 🏠 🍎 🪟 🐧 - Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13

<p><strong>l33tdawg/sage</strong> is a search MCP server that [![s-age MCP server](https://glama.ai/mcp/servers/l33tdawg/s-age/badges/score.svg)](https://glama.ai/mcp/servers/l33tdawg/s-age) 🏎️ 🏠 🍎 🪟 🐧 - Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 .</p> <h2>How to Use l33tdawg/sage</h2> <p>To use l33tdawg/sage, you need an MCP-compatible client such as Claude Desktop, Cursor, or VS Code with an MCP extension. Once configured, the AI model can automatically use the tools provided by this server.</p>

Key Features

  • Open source with community contributions
  • Web search integration
  • Structured result parsing