llmem
CommunityStructured memory with semantic search for LLMs.
AuthorMichielDean
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LLMem provides a structured, SQLite-backed memory store with semantic search and relation traversal to empower LLM agents to remember, recall, and relate experiences over time.
Core Features & Use Cases
- Structured memory types (fact, event, decision, and more), full-text search, semantic retrieval via embeddings, and a memory-relations graph.
- Relationship traversal across memories to surface related context and enable complex recall.
- Dream cycle for maintenance, decay, boosts, and merging near-duplicates to keep memories fresh.
Quick Start
Start by installing and running the llmem CLI, then add memories and use search with relation traversal to surface contextual memories.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: llmem Download link: https://github.com/MichielDean/LLMem/archive/main.zip#llmem Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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