Memory

Provide persistent vector-based memory and knowledge retrieval for Agent Zero.

What It Does

This plugin stores memories and knowledge embeddings in a FAISS-backed vector database, exposes tools for saving and recalling memories, and provides APIs and UI support for browsing, importing, updating, and deleting memory entries.

Main Behavior

• Persistent vector store
  • Creates and loads FAISS indexes per memory subdirectory.
  • Stores embedding metadata so the index can be rebuilt if the embedding model changes.
• Knowledge preloading
  • Loads configured knowledge directories into memory when a database is initialized.
• Memory tools
  • Includes tools for saving, loading, deleting, forgetting, and behavior adjustment workflows.
• Dashboard APIs
  • Exposes search, delete, bulk delete, update, and subdirectory listing endpoints for the memory dashboard.
• Scoped storage
  • Supports different memory subdirectories so memory can be separated by context or agent scope.

Key Files

• Core memory engine
  • helpers/memory.py implements FAISS storage, index loading, embedding configuration, and knowledge preload.
• Knowledge import
  • helpers/knowledge_import.py imports external knowledge into memory storage.
• Consolidation
  • helpers/memory_consolidation.py contains memory consolidation logic.
• Tools
  • tools/memory_save.py
  • tools/memory_load.py
  • tools/memory_delete.py
  • tools/memory_forget.py
  • tools/behaviour_adjustment.py
• API
  • api/memory_dashboard.py powers the memory management dashboard.
  • api/import_knowledge.py and api/knowledge_reindex.py handle knowledge import and reindexing.

Configuration Scope

• Settings section: agent
• Per-project config: true
• Per-agent config: true

Plugin Metadata

• Name: _memory
• Title: Memory
• Description: Provides persistent memory capabilities to Agent Zero agents.