Convert Elite Longterm Memory data into a structured ExpertPack. Migrates the 5-layer memory system (SESSION-STATE hot RAM, LanceDB warm store, Git-Notes cold store, MEMORY.md curated archive, and daily journals) into ExpertPack's portable format with multi-layer retrieval, context tiers, and EK measurement. Use when: upgrading from Elite Longterm Memory to ExpertPack, backing up agent knowledge, or migrating to a new platform. Triggers on: 'elite to expertpack', 'convert elite memory', 'export elite memory', 'migrate elite longterm', 'upgrade memory to expertpack', 'elite memory export'.
Converts an Elite Longterm Memory (5-layer system with 32K ClawHub downloads) into a proper structured ExpertPack.
Supported layers:
SESSION-STATE.md (current task, context, decisions)~/.openclaw/memory/lancedb/ (note: exported or skipped)MEMORY.md, memory/YYYY-MM-DD.md journals, memory/topics/*.mdcd /root/.openclaw/workspace/ExpertPack/skills/elite-to-expertpack
python3 scripts/convert.py \
--workspace /path/to/your/workspace \
--output ~/expertpacks/my-agent-pack \
[--name "My Agent's Knowledge"] \
[--type auto|person|agent]
Flags let you override auto-detected paths for each layer.
A complete ExpertPack conforming to schema 2.3:
manifest.yaml (with context tiers, EK stub)overview.md summarizing conversion (layer counts, warnings)mind/, facts/, summaries/, operational/, relationships/, etc._index.md files, lead summaries, glossary.md (if terms found)relations.yaml (if relationships detected)Secrets are automatically stripped (sk-, ghp_, tokens, passwords). Warnings emitted for any found.
cd ~/expertpacks/my-agent-packpython3 /path/to/expertpack/tools/eval-ek.py .overview.md and manifest.yamlLearn more: https://expertpack.ai • ClawHub expertpack skill
See also: Elite Longterm Memory skill on ClawHub.