agent-memory-management

Build stateful agents by using Sessions for short-term history and Memory for long-term persistence across multi-turn interactions. This preserves user preferences, decisions, and contextual facts, enabling personalized and reliable long-running interactions.

Multi-agent memory coordination works by applying versioned storage with provenance tracking to shared memory. This ensures that subagents can preserve context and coordination reliably while maintaining a trustworthy record of memory changes.

The best way to structure a memory filesystem is using a three-tier layout: System, Progressive, and Recall. This design balances recall effectiveness and cost by separating identity files, long-term facts, and extracted contextual data.

Prevent memory poisoning by applying retrieval guardrails and provenance tracking within the extraction-consolidation-retrieval pipeline. These governance features ensure trustworthiness and stop corrupted or malicious data from persisting.

You do not need a specific framework to implement long-term agent memory. You can initialize a memory suite by creating a system/ folder with identity files and a MEMORY.md for long-term facts, then load it into your agent.

Use a three-tier memory layout instead of standard session history when your agents need durable long-term persistence alongside short-term recall. It is essential for multi-turn interactions where remembering user preferences and contextual facts across sessions is required.