Show HN: MemoryCore – symbolic, peer-to-peer memory system for AI

a year ago

MemoryCore Lite is a lightweight symbolic memory compression engine.
It encodes and decodes text into compact symbolic bytecode using a custom tokenizer.
Designed for AI memory, offline storage, P2P syncing, and embedded devices.
Installation is done via pip with `pip install -r requirements.txt`.
Testing can be performed by running `python test_memorycore_lite.py`.
Core features include encoding/decoding text, exporting bytecode, and being ultra-lightweight.
Potential use cases span AI memory modules, edge devices, secure P2P networks, lightweight robotics, mesh networks, and archival storage.
Symbolic encoding reduces textual data size while preserving meaning, enabling decentralized AI memory.
Licensed under Apache License 2.0, open for public use and contribution.
Repo includes core logic, tokenizer, test script, and documentation.

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