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About MemronWe are building the
We are building the
memory layer for AI
AI agents forget everything between sessions. Context is locked in platform silos. Users don't own their data. We're fixing that - one pointer at a time.
Our Mission
Persistent, sovereign memory for every AI system
Memron is cross-platform memory infrastructure that lets AI agents retain context, share knowledge, and learn across sessions - without replaying entire conversation histories.
We built a four-stage pipeline - Perception, Normalization, Memory Management, and Persistence - that compresses raw context into cryptographically verified, pointer-addressable memories. The result: 10–100x cost reduction and agents that actually remember.
89–95%Token Compression
<3Pointer Size (tokens)
4Memory Buckets
AES-256Encryption Standard
What We Believe
Memory Sovereignty
Users own their AI memory. No vendor lock-in, no platform silos. Your context, your control.
Zero-Trust Architecture
AES-256-GCM encryption, row-level security, and hardware-backed access control by default.
Protocol-First
Built on Model Context Protocol. Standards over proprietary formats. Interoperability over lock-in.
Compression Over Replay
3-token pointers replace 1000-token histories. Efficiency is not optional - it is the architecture.
The Team
Built by engineers who ship
Give your AI persistent memory
Join the developers building context-aware AI systems with Memron.