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lanbass869-cell/README.md

Hi, I build AI memory infrastructure

I'm working on MemTether - a cross-client AI memory hub where heterogeneous AI agents share the same physical SQLite database via file-level pointers.

No server. No sync. Zero API cost.

What is MemTether?

Multiple AI clients (Codex, WorkBuddy, OpenClaw, ZCode, etc.) all point to the same memory.db file — so when you switch from one client to another, your memory comes with you.

Key features

  • File-level pointers (junction/symlink) — not sync, not copies
  • Dual-timeline governance — business time + recorded time, supersession version chains
  • Hybrid retrieval — vector (bge-m3) + FTS5 BM25 + keyword + literal, RRF fusion + cross-encoder reranking
  • Conflict detection — automatic detection + human review, not blind overwrite
  • Memory Exchange — governance semantics travel with memory across systems (5 adapters)
  • Zero cost — 100% local, offline capable, zero API fees

Quick start

\�ash pip install memtether \

Links

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  1. MemTether/MemTether MemTether/MemTether Public

    Cross-client AI memory hub — one physical SQLite, many clients. File-level pointers, REST API, Web Dashboard, MCP. Zero cloud. Dual-timeline governance. PyPI: memtether

    Python 3 2