What problem does it solve?
LLM agents lose all context between sessions, forcing users to repeat themselves and preventing any real continuity. This Skill gives the agent durable memory operations so it can recall past conversations, store important facts, and maintain goals and commitments over time.
Core Features & Use Cases
- Semantic and Exact Recall: Use
recall for targeted semantic retrieval and search_history for exact names, phrases, or details from earlier sessions, with recall_at_time and diff_memory_history for point-in-time and change-over-time queries.
- Durable Storage and Commitments: Persist facts, events, preferences, and decisions with
remember, and manage goals, schedules, backlogs, and watch-and-notify responsibilities with dedicated management tools.
- Source Document Access: Climb the cabinet ladder from
search_documents and search_document_chunks to open_document and desk tools to cite ingested source material directly.
- Use Case: A user asks "what did we decide about the database migration last month?" The agent recalls the relevant memory, opens the source document for the exact wording, and cites the decision with its date.
Quick Start
Ask the agent to recall what was discussed in previous sessions about a specific topic and store any new decisions from the current conversation.