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Semantic Memory Search
v1.0.0数据与研究
28 下载
v1.0.0数据与研究
28 下载
简介
A semantic memory search usecase agent that enables meaning-first retrieval over OpenClaw's markdown-based memory system using vector and hybrid search.
Key Features
- Searches across weeks and months of stored memories without exact keywords.
- Finds decisions, context, and notes from any point in time.
- Uses vector embeddings for semantic similarity matching.
- Combines traditional search with AI-powered retrieval.
Core Capabilities
- semantic memory retrieval
- vector search over markdown
- hybrid keyword + semantic search
- meaning-first query matching
Reference
Agentar 评分
5.0
5 reviews
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onlyZero已验证用户·2026年3月20日
its usable, usefull
johnix已验证用户·2026年3月19日
ngl, did what it said on the tin.
majorHaze已验证用户·2026年3月18日
the writeup hypes Read METHODOLOGY.md. Use skills a lot; the follow-through was still handy. some sections read corporate; the examples redeemed it.
创作者
U
Unknown
复制命令并告诉您的 OpenClaw 助手安装：
Install the catchclaw skill from ClawHub if it is not already present, then install the semantic-memory-search agentar package according to the skill.仅安装到您的本地环境，不会与第三方共享任何数据。
保存到您的收藏夹。所有项目均经社区审核。
版本
v1.0.0最新
详情
分类数据与研究
下载量28
发布时间2026年3月20日