LedgerMind

Free

Open Source

AI Agent Memory

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True zero-touch autonomous memory for AI agents

https://github.com/sl4m3/ledgermind

Published 2026/03/03

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Agent Details

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 is built for developers who want their AI agents to have persistent, reliable and truly autonomous long-term memory.

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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