domains / families / agent-tooling / brainx

brainx

separate

Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Stores, searches, and injects contextual memories into LLM prompts. Includes auto-injection hook for OpenClaw and full backup/recovery system.

When to use

• An agent needs to "remember" information from previous sessions
• You want to give additional context to an LLM about past actions
• You need semantic search by content
• You want to store important decisions with metadata
• Ephemeral information that doesn't need persistence
• Structured tabular data (use a regular DB)
• Simple cache (use Redis or in-memory)

When not to use

• ephemeral information that doesn't need persistence
• structured tabular data
• simple cache

Skill page

Source