{"repo":"sl4m3/ledgermind","free":true,"listed":false,"github":"https://github.com/sl4m3/ledgermind","clone":"git clone https://github.com/sl4m3/ledgermind.git","description":"​LedgerMind — an autonomous living memory for AI agents. It self-heals, resolves conflicts, distills experience into rules, and evolves without human intervention. SQLite + Git + reasoning layer. Perfect for multi-agent systems and on-device deployment.","language":"Python","stars":17,"topics":["agentic-ai","ai-agents","autonomus-ai-agent","gguf","hybrid-search","hybrid-storage","llm-memory","mcp-server","memory","memory-management"],"license":null,"category":"ai-agents","readme_excerpt":"LedgerMind v3.3.6 · Autonomous Memory Management System for AI Agents LedgerMind is not a memory store — it is a living knowledge core that thinks, heals itself, and evolves without human intervention. --- Featured On &nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp; --- What is LedgerMind? Most AI memory systems are passive stores: you write, you read, and if the information becomes stale or contradictory — that is your problem. LedgerMind takes a fundamentally different approach. It is an autonomous knowledge lifecycle manager that combines a hybrid storage engine (SQLite + Git) with a built-in reasoning layer. The system continuously monitors knowledge health, detects conflicts, distills raw experience into structured rules, and repairs itself — all in the background, without any intervention from the developer or the agent. The Difference Traditional Memory LedgerMind ------------------- -------------- Static storage Autonomous reasoning engine Manual cleanup Self-healing decay system No conflict detection Intelligent conflict resolution Flat storage Multi-stage lifecycle (PATTERN → EMERGENT → CANONICAL) No audit trail Git-based cryptographic audit Single namespace Multi-agent namespacing --- Core Capabilities Capability Description ------------ ------------- Zero-Touch Automation ledgermind install automatically injects hooks into Claude Code, Cursor, or Gemini CLI for 100% transparent memory operations without MCP tool calls. VS Code Hardcore Mode Dedicated VS Code exte","default_branch":null,"files":null,"tree":[],"storefront":"/r/sl4m3","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sl4m3/ledgermind/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}