add-mnemon

Persistent memory for AI agents in Docker containers is enabled by integrating a graph-based system that registers hooks to surface historical data and store new insights. This provides long-term context retention across sessions by building a knowledge graph.

Graph-based agent memory is a persistent context layer that stores interactions and insights as interconnected data points. It works by automatically surfacing relevant historical data before an agent responds and capturing new insights after each turn to build long-term knowledge.

Yes, persistent agent memory explicitly works with the claude-code provider. Compatibility with the claude-code provider is required for the memory system to correctly register hooks and facilitate long-term context retention within Docker-based AI agent containers.

To retain long-term context between AI agent sessions, you apply a persistent memory skill that captures and stores new insights after each turn. This automatically builds a knowledge graph that the agent can recall during future interactions without needing context restated.

Yes, you need Docker environment access to use this persistent agent memory system. The memory layer integrates directly into Docker-based AI agent containers to function correctly and manage the long-term context retention hooks.