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Hystersis

Give your AI agents persistent memory that compounds over time. Hystersis is an open-source memory infrastructure for AI agents. It provides semantic search, knowledge graphs, and procedural memory that grows with every interaction. Hystersis Architecture

Why Hystersis?

  • Memory That Adapts - Agents learn from past interactions
  • Knowledge Graphs - Understand relationships between entities
  • Semantic Search - Find information using natural language
  • Multi-Agent Support - Shared memory across agent teams
  • 85% Compression - Efficient storage without losing context

Quick Start

Features

Status

Current status: Operational Better Stack

License

MIT License - See GitHub for details.