lorekeeper-searchlisted

# Lorekeeper Search with Feedback Lorekeeper is a persistent memory store exposed via MCP tools (`lore_search`, `lore_update`, `lore_insert`). It uses hybrid semantic + keyword search to surface relevant knowledge. **Critical rule**: Every `lore_search` MUST be followed by a `lore_update` feedback call once the task is complete. This feedback loop — including **confidence ratings** — keeps the knowledge base accurate and self-correcting. ## Workflow ### Step 1: Search Call `lore_search` with a specific natural language query. ``` lore_search({ query: "voucher stacking rules in checkout", limit: 10, min_score: 0.1 }) ``` - Use natural language questions, not single keywords - Raise `min_score` (e.g. 0.3) if results are noisy; lower `limit` if you need fewer results - Soft-deleted memories (flagged as unreliable) are excluded by default. ### Step 2: Use the results and verify Each result contains `memory.id`, `memory.title`, `memory.content`, `relevance.combined_score`, and `links`. Each link has its own `id`, `relation_type`, `reason`, `source_memory_id`, and `target_memory_id`. While using the results: - Track which **memories** were helpful and verify their factual accuracy - Assess each **link**: does the stated relationship (`reason`) make sense? Does it correctly connect the two memories? This dual verification informs both memory and link confidence ratings in Step 3. ### Step 3: Provide feedback with confidence (MANDATORY) **After completing your task**, c