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MCP-Memory-LanceDB-Pro

MCP Tool

bcornish1797/MCP-Memory-LanceDB-Pro

Full memory-lancedb-pro memory enhancement system for Claude Code via MCP protocol — hybrid retrieval, smart extraction, auto-capture, intelligent forgetting, multi-scope isolation. Feature parity with OpenClaw memory-lancedb-pro plugin.

Install

$ npx loaditout add bcornish1797/MCP-Memory-LanceDB-Pro

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "MCP-Memory-LanceDB-Pro": {
      "command": "npx",
      "args": [
        "-y",
        "MCP-Memory-LanceDB-Pro"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<div align="center">

🧠 MCP-Memory-LanceDB-Pro

Give your AI coding assistant a brain that actually remembers.

*Full-featured long-term memory system for Claude Code via the Model Context Protocol (MCP).*

[](https://modelcontextprotocol.io) [](https://lancedb.com) [](LICENSE) [](https://nodejs.org)

</div>

---

The Problem

Every time you start a new Claude Code session, your AI assistant forgets everything — your preferences, past decisions, project context, lessons learned. You end up repeating yourself, wasting time, and losing momentum.

The Solution

MCP-Memory-LanceDB-Pro is a standalone MCP server that gives Claude Code persistent, intelligent long-term memory. It runs alongside Claude Code as an independent process, automatically capturing important information and recalling it when needed — across sessions, across projects, across time.

Before & After

Without memory — every session starts from zero:

You: "Use tabs for indentation, always add error handling."
(next session)
You: "I already told you — tabs, not spaces!"
(next session)
You: "...seriously, tabs. And error handling. Again."

With MCP-Memory-LanceDB-Pro — your assistant learns and remembers:

You: "Use tabs for indentation, always add error handling."
(next session — assistant auto-recalls your preferences)
Assistant: (silently applies tabs + error handling)
You: "Why did we pick PostgreSQL over MongoDB last month?"
Assistant: "Based on our discussion on Feb 12, the main reasons were..."

---

Features

| Feature | Description | |---------|-------------| | Hybrid Retrieval | Vector similarity + BM25 full-text search with RRF fusion | | Cross-Encoder Reranking | Jina / SiliconFlow / Voyage /

Tags

ai-memoryclaude-codeembeddingshybrid-retrievallancedblong-term-memorymcpmcp-servermemoryvector-search

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Quality Signals

0
Installs
Last updated23 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/23/2026
View on GitHub→

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