gemini-memory-lifecycle
CommunityTurn conversations into lasting memories.
Software Engineering#personalization#ETL#memory#consolidation#knowledge-graph#agent-memory#vector-database
Authorabhishekmmgn
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transforms transient conversation data into persistent, high-value memories to enable long-term learning and personalization.
Core Features & Use Cases
- Extraction: identify meaningful signals from interactions and convert them into structured memories.
- Consolidation: merge new insights with existing memories to prevent contradictions and duplication.
- Retrieval: fetch relevant memories with a blended score considering relevance, recency, and importance for context.
Quick Start
Instruct the agent to convert the most recent conversations into a long-term memory entry capturing user preferences and goals.
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: gemini-memory-lifecycle Download link: https://github.com/abhishekmmgn/skills/archive/main.zip#gemini-memory-lifecycle Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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