hkt-memory
CommunityLayer and recall production-grade memory automatically.
Authorwangrenzhu-ola
Version1.0.0
Installs0
System Documentation
What problem does it solve?
HKT-Memory v5.0 delivers production-grade long-term memory management with automatic multi-layer storage, ensuring critical knowledge is preserved and accessible across teams and projects.
Core Features & Use Cases
- Three-layer storage: L2 full content triggers L1 overviews and L0 abstracts for fast recall.
- LLM-based structured extraction: titles, key points, decisions, actions, and timelines are captured automatically.
- MCP protocol support and Claude Code hooks: enable seamless client integration and automated capture/recall.
- Hybrid search: vector embeddings plus BM25 for robust recall across large knowledge bases.
- Use cases include architecture logs, project retrospectives, and knowledge archives across teams.
Quick Start
Install and run memory via the CLI, then store a memory in layer all and retrieve with a query to verify layering and recall.
Dependency Matrix
Required Modules
flask>=3.0.0openai>=1.0.0requests>=2.31.0tqdm>=4.66.0numpy>=1.24.0
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hkt-memory Download link: https://github.com/wangrenzhu-ola/GaleHarnessCodingCLI/archive/main.zip#hkt-memory Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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