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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
| Date | Stars |
|---|---|
| 2026-07-24 | 4458 |
| 2026-07-25 | 4458 |
| 2026-07-28 | 4458 |
| 2026-07-30 | 4458 |
| 2026-08-06 | 4458 |
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<div align="center"> # 🧠 memory-lancedb-pro · 🦞OpenClaw Plugin **AI Memory Assistant for [OpenClaw](https://github.com/openclaw/openclaw) Agents** *Give your AI agent a brain that actually remembers — across sessions, across agents, across time.* A LanceDB-backed OpenClaw memory plugin that stores preferences, decisions, and project context, then auto-recalls them in future sessions. [](https://github.com/openclaw/openclaw) [](https://github.com/openclaw/openclaw) [](https://www.npmjs.com/package/memory-lancedb-pro) [](https://lancedb.com) [](LICENSE) <h2>⚡ <a href="https://github.com/CortexReach/memory-lancedb-pro/releases/tag/v1.1.0-beta.10">v1.1.0-beta.10 — OpenClaw 2026.3+ Hook Adaptation</a></h2> <p> ✅ Fully adapted for OpenClaw 2026.3+ new plugin architecture<br> 🔄 Uses <code>before_prompt_build</code> hooks (replacing deprecated <code>before_agent_start</code>)<br> 🩺 Run <code>openclaw doctor --fix</code> after upgrading </p> [English](README.md) | [简体中文](README_CN.md) | [繁體中文](README_TW.md) | [日本語](README_JA.md) | [한국어](README_KO.md) | [Français](README_FR.md) | [Español](README_ES.md) | [Deutsch](README_DE.md) | [Italiano](README_IT.md) | [Русский](README_RU.md) | [Português (Brasil)](README_PT-BR.md) </div> --- ## Why memory-lancedb-pro? Most AI agents have amnesia. They forget everything the moment you start a new chat. **memory-lancedb-pro** is a production-grade long-term memory plugin for OpenClaw that turns your agent into an **AI Memory Assistant** — it automatically captures what matters, lets noise naturally fade, and retrieves the right memory at the right time. No manual tagging, no configuration headaches. ### Your AI Memory Assistant in Action **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 memory-lancedb-pro — your agent learns and remembers:** > **You:** "Use tabs for indentation, always add error handling." > *(next session — agent auto-recalls your preferences)* > **Agent:** *(silently applies tabs + error handling)* ✅ > **You:** "Why did we pick PostgreSQL over MongoDB last month?" > **Agent:** "Based on our discussion on Feb 12, the main reasons were..." ✅ That's the difference an **AI Memory Assistant** makes — it learns your style, recalls past decisions, and delivers personalized responses without you repeating yourself. ### What else can it do? | | What you get | |---|---| | **Auto-Capture** | Your agent learns from every conversation — no manual `memory_store` needed | | **Smart Extraction** | LLM-powered 6-category classification: profiles, preferences, entities, events, cases, patterns | | **Intelligent Forgetting** | Weibull decay model — important memories stay, noise naturally fades away | | **Hybrid Retrieval** | Vector + BM25 full-text search, fused with cross-encoder reranking | | **Context Injection** | Relevant memories automatically surface before each reply | | **Multi-Scope Isolation** | Per-agent, per-user, per-project memory boundaries | | **Any Provider** | OpenAI, Jina, Gemini, Ollama, or any OpenAI-compatible API | | **Full Toolkit** | CLI, backup, migration, upgrade, export/import — production-ready | --- ## Quick Start > **CPU Requirement:** Your CPU must support **AVX** instructions. LanceDB native vector search may require **AVX2** on some Linux x64 builds and can crash AVX-only CPUs with `SIGILL`; set `retrieval.disableNativeCosine: true` or `MEMORY_LANCEDB_DISABLE_NATIVE_COSINE=1
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a059dc39e0187897, topic:rag, topic:memory, readme:long-term memory