Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive learning -- everything an agent needs for identity continuity across sessions.
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.