AI Memory

AI Memory provides persistent long-term memory for AI coding agents so work can continue across sessions and even across different agent vendors. It captures sanitized lifecycle observations automatically through hooks instead of requiring agents to write notes manually. Session activity is consolidated into a plain-Markdown project wiki stored in Git. When a new session begins, the agent receives a bounded handoff containing relevant context, failed approaches, and open questions. Optional managed workstreams add native session resumption and a portable event ledger for higher-fidelity continuity. It supports multiple coding agents, several embedding providers, local models, and repository-level capture exclusions.