True zero-touch autonomous memory for AI agents
LedgerMind Overview
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. Support for Claude Desktop and Cursor is in active development.
LedgerMind Key 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
LedgerMind Use Cases
Long-term autonomous AI agents that need reliable persistent memory
Complex multi-step research, coding and data analysis agents
Production-grade agentic workflows requiring consistent context
Agents in Gemini CLI, Claude Desktop and Cursor
Multi-agent systems with shared reliable memory
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