v1.0.0 — First Stable Release

HyAtlas-Memory v1.0.0 — First Stable Release

The community implementation of the official Hy-Memory 7-layer cognitive memory framework (Tencent Hunyuan) for Hermes Agent. Includes the experimental L7 intention layer. MIT licensed.

Install

pip install hyatlas-memory

What's new

• First stable release on PyPI
• Layer-as-importance scoring (default ON) — maps memory layers to upstream MemoryScorer weights: l4_identity=1.0, l2_fact=0.8, l3_summary=0.6, l0_basic_info=0.5, l1_raw=0.3
• Access-count tracking (default ON) — bumps access_count on every recall, completing upstream's 4-factor scorer
• Qdrant auto-detection — no more hardcoded paths; uses QDRANT_BIN env var → PATH → common OS locations; skips launch if Docker already running
• Token-based dashboard auth when bound to 0.0.0.0 (auto-generated 32-char token, cookie session, /api/health exempt)
• Docker one-command startup via docker-compose up -d
• Dashboard front-end refactor — app.js split into core + js/l5.js + js/observatory.js
• Integration tests in tests/test_integration.py covering the full local stack

Kill switches

Both scoring features are ON by default. To disable:

export HYATLAS_MEMORY_IMPORTANCE=0
export HYATLAS_MEMORY_ACCESS_COUNT=0

See CHANGELOG.md for the full notes.