recall_chat_history

com.memoryplugin/memory · Verify this server

Search and synthesize context from the user's past AI conversations. MemoryPlugin's Chat History feature syncs conversations from ChatGPT, Claude, and other platforms, making them searchable. Also known as the 'MemoryPlugin inject tool' or 'memoryplugin chat history tool'. WHEN TO USE: When the user asks about their past decisions, patterns, preferences, relationships, projects, or anything where their conversation history provides valuable personal context. Consider proactively suggesting this when the user's question could benefit from their history. HOW TO USE: - For simple lookups: a single query is fine - For complex/multifaceted topics: use parallel queries (via 'queries' array) approaching from different angles - timeline, emotions, people, decisions, outcomes, etc. - Set maxTokens per query (300-1000) to control how much context is returned. More tokens = richer detail but consumes more conversation window. - Use 'before'/'after' (ISO 8601 dates like "2025-01-15" or "2025-01-15T10:30:00Z") to constrain results to a date range. Bare dates are interpreted in UTC and are inclusive on both ends. - Use 'mode: "quality"' for slower but more thorough recall on hard or ambiguous queries; defaults to 'speed'. - If unclear how much context to fetch, ask the user. Returns synthesized summaries (not raw conversation logs) with source metadata for citations.