Enables AI agents to audit and clean their memory files by scanning for duplicates, broken links, stale facts, and conflicts, with non-destructive, reversible fixes and a full audit trail. It also lets the calling agent serve as the conflict judge through MCP tools.
Enables agents to manage persistent long-term memory through MCP tools for searching, adding, updating, giving feedback, and forgetting memories, with automated pipelines for redaction, distillation, and reconciliation.
Enables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.
