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Introduction

Audaxic is a managed memory layer for AI agents. It gives your agents persistent memory across sessions — they remember user preferences, past conversations, and learned facts without you managing any infrastructure.

What Audaxic Does​

  • Stores memories — Extracts and saves facts from conversations automatically
  • Searches semantically — Find relevant memories using natural language, not keyword matching
  • Isolates per user per project — Each user's memories are completely separated by project
  • Tracks usage — Metered billing so you only pay for what you use

How It Works​

  1. Your agent sends conversation messages to Audaxic
  2. Audaxic extracts meaningful facts and stores them as vector embeddings
  3. When your agent needs context, it searches memories using natural language
  4. Audaxic returns the most relevant memories with similarity scores

Ways to Integrate​

MethodBest For
REST APIDirect HTTP integration from any language
MCP ServerAI agents using the Model Context Protocol