fleet-memory/hindsight-integrations/moltbot/skills/hindsight/SKILL.md

name	description	user-invocable	disable-model-invocation
memory_search	Search your long-term memory for relevant facts, experiences, and context using semantic and graph-based retrieval	false	false

memory_search

Search your long-term memory for relevant information. This tool provides multi-strategy retrieval combining:

• Semantic search across facts and experiences
• BM25 keyword matching
• Entity graph traversal
• Temporal queries
• Cross-encoder reranking

Usage

Call memory_search with a natural language query to find relevant memories:

memory_search "What does the user prefer for breakfast?"
memory_search "When did we discuss the project deadline?"
memory_search "Tell me about Paris"

Returns

Returns a list of relevant memory fragments with:

• Content: The actual memory text
• Score: Relevance score (0-1)
• Metadata: Source document, creation date, entities

Use the results to inform your responses with context from past conversations.