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True zero-touch autonomous memory for AI agents
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.
KOLFind is an AI-driven platform that helps brands discover and connect with nano and micro influencers across TikTok, Instagram, and YouTube to drive effective influencer marketing campaigns.
Helping AI agents learn and adapt from interactions over time
Advancing the frontier of AI systems with memory
AI memory layer that enhances LLMs with personalized, long-term context retention
Memory foundation for AI stacks, enabling personalized agents and assistants.
Create bikini-style fashion images quickly with consistent results.
Bulk remove backgrounds, upscale, and enhance product images.
