> Long-term vector memory for customer conversations. Stores every turn with customer isolation, auto-tags quotes and commitments, enables semantic retrieval across sessions.
| Command | Description |
|---|---|
| --------- | ------------- |
chroma:store | Store a conversation turn (auto-called after each turn) |
chroma:search | Semantic search across conversation history |
chroma:recall | Recall recent history for a returning customer |
chroma:snapshot | Store daily CRM snapshot as fallback (L4) |
chroma:stats | Show storage statistics |
# Store a turn (normally auto-triggered by hook)
chroma:store --customer "+971501234567" --turn 5 --user "What's the price for 500 units?" --agent "Let me prepare a detailed quote..." --stage qualifying --topic pricing
# Search history
chroma:search "Dubai customer pricing discussion" --customer "+971501234567" --limit 5
# Recall for returning customer (auto-triggered when gap > 7 days)
chroma:recall "+971501234567" --limit 10
# Daily CRM snapshot (triggered by HEARTBEAT #12)
chroma:snapshot
# Stats
chroma:stats
This skill implements Layer 3 (L3) and Layer 4 (L4) of the 4-layer Anti-Amnesia system:
Turns are automatically tagged based on content analysis:
| Tag | Trigger |
|---|---|
| ----- | --------- |
has_quote | Price/cost/quote discussed |
has_commitment | Promise made by either party |
has_objection | Customer objection detected |
has_order | Order/purchase confirmed |
has_sample | Sample request discussed |
All data is partitioned by customer_id (phone number). Queries always include where={"customer_id": ...} to ensure strict tenant isolation.
chromadb skill (vector database, install via ClawHub)共 1 个版本