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advanced-memory-architect

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Tune Qdrant memory for fast, diverse retrieval.

Software Engineering#qdrant#vector-search#memory-optimization#hybrid-search#temporal-decay#mmr#retrieval-performance
AuthorShadojin94
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Optimize Qdrant-based memory systems for OpenClaw agents to improve recall, reduce latency, and balance memory diversity.

Core Features & Use Cases

  • Hybrid search tuning: adjust vectorWeight and textWeight for domain-specific retrieval balance.
  • MMR diversity: enforce non-redundant results while preserving relevance.
  • Temporal decay: configure memory half-lives to favor recent information and aging content.
  • Production readiness: guidelines for profiling, testing, and monitoring memory performance in live deployments.

Quick Start

Configure your memory for openclaw to enable hybrid search, enable MMR, and set temporal decay, then validate results on a representative dataset.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: advanced-memory-architect
Download link: https://github.com/Shadojin94/zetamind-app/archive/main.zip#advanced-memory-architect

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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