win4r

win4r / memory-lancedb-pro

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Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

youtu.beMtukF1C8epQ lancedb memory openclaw openclaw-agent openclaw-plugin
785
201
100% credibility
Found Feb 24, 2026 at 130 stars 6x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A plugin that enhances long-term memory for OpenClaw AI agents with improved search, organization into separate areas, and easy management tools.

How It Works

1
🧠 Discover smarter memory

You hear about a helpful upgrade that lets your AI assistant remember conversations, preferences, and facts much better over time.

2
📥 Add to your setup

You easily place this memory helper into your AI assistant's home, just like adding a new tool.

3
🔗 Connect a thinking service

You link a smart service so the memory can understand and organize what matters from your chats.

4
🚀 Turn it on

With one simple switch, your AI starts automatically saving and recalling key moments from every conversation.

5
💬 Chat naturally

As you talk with your AI, it pulls up relevant past details like your favorite choices or important decisions without you asking.

6
📋 Review and tidy

You peek at saved memories or remove ones that aren't needed anymore using friendly list and clean options.

🎉 AI feels personal

Your assistant now remembers you deeply, making every chat smarter, faster, and more tailored just like a true friend.

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AI-Generated Review

What is memory-lancedb-pro?

memory-lancedb-pro is a TypeScript plugin that upgrades OpenClaw's built-in LanceDB memory system into a full-featured long-term memory layer for AI agents. It handles hybrid retrieval blending vector search with BM25 keyword matching, cross-encoder reranking for relevance, and multi-scope isolation to separate agent knowledge. Developers get auto-capture/recall hooks, session summaries, and a management CLI for list/search/delete/export tasks.

Why is it gaining traction?

Unlike OpenClaw's basic vector-only memory, this enhanced version fuses semantic and exact-match search, adds recency boosts and noise filtering for cleaner results, and supports any OpenAI-compatible embedder like Jina or Ollama. The CLI shines for bulk ops and migrations, while scope isolation prevents agents from leaking data—key for multi-agent setups. Video tutorials and detailed config schemas lower the entry barrier.

Who should use this?

OpenClaw builders running persistent agents, like Discord bots or project-specific AIs needing user prefs or decision history across sessions. Ideal for teams with multiple agents requiring github enhanced security via scope isolation, or devs handling hybrid queries in knowledge-intensive apps.

Verdict

Swap in for OpenClaw's default memory if you need BM25 and reranking—migration tools make it painless. 113 stars and 1.0% credibility score signal early maturity despite strong docs; test in staging before prod.

(198 words)

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