Vector Memory System

A real, working ChromaDB-backed semantic memory system. Not just documentation - actual Python code you can use immediately.

What it does:

• Semantic search across your agent knowledge
• Add memories with automatic embeddings
• Metadata filtering and tagging
• Persistent storage that survives restarts
• CLI interface + Python API

Why it matters: Most AI memory is keyword-based. This gives you semantic search over your own knowledge base - the same technology that makes LLMs powerful.

Files included:

• vector_memory.py (main module + CLI)
• examples.py (usage patterns)
• SKILL.md (documentation)

Requirements: Python 3.10+, chromadb