LedgerMind is a next-generation autonomous memory core for AI agents that achieves genuine zero-touch operation. Using client-side hooks, it automatically: • Searches and injects the most relevant memories before every user prompt • Logs all agent actions including tool calls, file reads, script executions, document analysis and their results • Performs self-healing every 5 minutes • Maintains a full immutable Git-based audit trail • Resolves memory conflicts autonomously It combines hybrid SQLite + vector storage with powerful reasoning capabilities. Currently 100% stable and working out-of-the-box with Gemini CLI.

Features

  • True zero-touch automation via client-side hooks
  • Automatic memory search + context injection before every prompt
  • Automatic logging of all agent actions and tool results
  • Self-healing memory every 5 minutes
  • Full Git-based immutable audit trail
  • Autonomous conflict resolution

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