Hypermnesic vs Mcp Server

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Hypermnesic
leonardsellem
🧠 Knowledge & Memory
M
Mcp Server
DollhouseMCP
🧠 Knowledge & Memory
SummaryGit-first memory for AI agents: Markdown files are truth, the index is disposable, and writes are reviewable commits. Ships 7 MCP tools (hybrid search, readnote, buildcontext, resolve, think, listfolders, and a scope-gated commitnote write) over a Streamable HTTP endpoint, plus a CLI and a read-only Obsidian companion.One-line installable MCP server that adds reusable customization elements — personas, skills, templates, agents, memory, and ensembles (collected customization tools) — to any MCP Client application. Dynamic permissioning for safe AI operations, a robust validation architecture, versioning, and a public collection of shareable content. Install: npx @dollhousemcp/mcp-server@latest --web.
Quality signal23/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 0 0 0 37
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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