Elite Longterm Memory
Multi-layered AI agent memory system combining session state, vector search, git-notes, curated archives, and optional cloud backup — so your agent never loses context across sessions.
npx clawhub@latest install elite-longterm-memoryVoraussetzungen
Elite Longterm Memory provides a comprehensive 6-layer memory architecture for AI coding agents. It combines hot session state (Write-Ahead Log), warm vector search (LanceDB), cold structured knowledge (git-notes), curated human-readable archives (MEMORY.md), optional cloud backup (SuperMemory), and automatic fact extraction (Mem0) into a single unified system. Your agent retains context, decisions, preferences, and lessons learned across sessions and compaction events.
Funktionsweise
The system uses a tiered memory architecture. Hot RAM (SESSION-STATE.md) stores active working memory using a Write-Ahead Log protocol — state is written before the agent responds, ensuring nothing is lost on crashes or compaction. Warm Store (LanceDB vectors) enables semantic search across all stored memories with auto-recall. Cold Store (git-notes) preserves structured decisions and learnings in a branch-aware knowledge graph. Curated Archive (MEMORY.md + daily logs) provides human-readable long-term storage. Optional layers include SuperMemory for cloud backup and Mem0 for automatic fact extraction with 80% token reduction.
Hauptfunktionen
Voraussetzungen
Anwendungsfälle
Installation
npx clawhub@latest install elite-longterm-memorynpx clawhub@latest install elite-longterm-memoryVoraussetzungen
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