Agent Memory ArchitectureAgent Memory Architecture

Agent Memory 1.0.0 — Initial Release

- Introduces a comprehensive, file-based memory architecture for AI agents, providing continuity of identity across sessions.

- Features include long-term memory, daily logs, diary entries, cron inbox for inter-session communication, heartbeat state tracking, platform post tracking, and adaptive strategy notes.

- Defines clear directory/file structure and maintenance rules for each memory component.

- Outlines templates for sub-agent context loading and write-back to ensure unified identity and experience sharing.

- Provides setup instructions for initializing memory files and integrating memory routines into agent sessions.