Graphlit Mcp Server vs Longhand

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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🧠 Knowledge & Memory
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Longhand
Wynelson94
🧠 Knowledge & Memory
SummaryIngest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy recall, deterministic replayfile, and git-aware recallprojectstatus. Published on PyPI as longhand and registered in the MCP Registry.
Quality signal28/100 (Emerging)27/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 379 0 0 0 12
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Graphlit Mcp ServerView Longhand
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