Minns Memory Layer is a purpose-built database for agentic workflows. Unlike traditional databases, it understands the intent (Goals) and context of every interaction your AI agents perform. Every event you log is automatically woven into a knowledge graph that powers long-term memory, episode detection, claim extraction, and strategy learning.Documentation Index
Fetch the complete documentation index at: https://docs.minns.ai/llms.txt
Use this file to discover all available pages before exploring further.
Core concepts
Understand Events, Episodes, Goals, Memory, and Strategies.
Quickstart
Get up and running in under 5 minutes.
TypeScript SDK
Install the SDK and start logging events immediately.
API Reference
Explore every endpoint with full request and response schemas.
How it works
Log events
Send structured events — actions, observations, messages, reasoning — to the
POST /api/events endpoint or via the SDK.Automatic graph construction
Minns Memory Layer builds a knowledge graph in real time: nodes for events, goals, actions, and contexts — connected by typed edges.
Episode detection
Events sharing the same goal are grouped into Episodes. When a goal reaches
progress: 1.0, the episode is completed.Memory & strategy extraction
Completed episodes become searchable Memories. Successful patterns are extracted as reusable Strategies.
Choose your path
I want to build
Jump straight to the quickstart guide.
I want to understand
Read the core concepts first.
I want to explore
Browse the full API surface.