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agent-zero/plugins/_memory
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Jehu c26ed8064e Keep numpy scalars out of memory metadata and API JSON 
Memory consolidation stores FAISS relevance scores (numpy scalars) in
document metadata. The values get pickled into the docstore and crash
json.dumps with 'Object of type float32 is not JSON serializable' in
helpers/api.py for handlers that return full metadata. Coerce scores to
native floats at the source and serialize responses with default=float.
2026-08-21 08:57:30 +02:00
..
api Refactor: use user locale for time displays 2026-05-21 15:26:00 +02:00
extensions Unify WebUI icons and fix message collapsing 2026-07-31 13:32:41 +00:00
helpers Keep numpy scalars out of memory metadata and API JSON 2026-08-21 08:57:30 +02:00
prompts Keep capability discovery aligned with runtime 2026-08-12 14:34:15 +02:00
tools Coerce memory load numeric args 2026-07-02 17:29:40 +02:00
webui Unify WebUI icons and fix message collapsing 2026-07-31 13:32:41 +00:00
AGENTS.md Keep capability discovery aligned with runtime 2026-08-12 14:34:15 +02:00
default_config.yaml refactor - plugin names and builtin plugins 2026-03-10 22:20:53 +01:00
plugin.yaml refactor - plugin names and builtin plugins 2026-03-10 22:20:53 +01:00
README.md Improve auto-memory extraction quality 2026-06-02 09:42:47 +02:00

README.md

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.
  • Automatic conversation memory
    • Stores durable preferences, project facts, and recurring constraints while filtering transient action-history fragments before insertion.
  • 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.