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LedgerMind

True zero-touch autonomous memory for AI agents

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Pricing
Free
Category
Memory
Access
Open Source
Industry
Horizontal

What is LedgerMind?

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.

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

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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