Enables agents to audit and repair their long-term memory in Sibyl Memory, detecting contradictions, duplicates, and stale facts, and fixing them with a permanent audit trail.
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 capture, search, and manage structured memory from agent sessions with append-only events and provenance tracking, providing eight local MCP stdio tools.
Audit-grade, git-versioned memory for AI coding agents that enables saving, searching, editing, and rolling back facts through markdown files served via MCP.