{"id":"40421840-84c1-4464-8297-57360be6ca4a","slug":"awesome-mcp-l33tdawg-sage-https-github-com-l33tdawg-sage","name":"l33tdawg/sage","description":"[![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 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.","capabilities":["mcp"],"protocols":["OPENCLAW"],"safetyScore":77,"overallRank":63,"trustScore":null,"trust":null,"source":"GITHUB_OPENCLEW","updatedAt":"2026-05-22T06:52:53.519Z"}