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memanto remember

Store a new memory for the active agent. Supports three input modes: a single memory, a batch of memories from a JSON file, or memories auto-extracted from a conversation transcript. 
memanto remember TEXT [OPTIONS]
Arguments:
  • TEXT - Memory content (required unless --batch or --from-conversation is used)
Options:
  • -t, --type TEXT - Memory type (fact, preference, goal, decision, artifact, learning, event, instruction, relationship, context, observation, commitment, error)
  • --title TEXT - Memory title (defaults to truncated content)
  • -c, --confidence FLOAT - Confidence score 0.0-1.0 (default: 0.8)
  • --tags TEXT - Comma-separated tags
  • -s, --source TEXT - Source of the memory, e.g. user, agent_name (default: user)
  • -p, --provenance TEXT - Provenance/origin of the memory, e.g. inferred, corrected (default: explicit_statement)
  • --batch PATH - Path to a JSON file with an array of memory objects (batch mode)
  • --from-conversation PATH - Path to a JSON conversation file, or - to read from stdin (conversation-extraction mode)
  • --dry-run - Preview extracted conversation memories without storing them (only valid with --from-conversation)
  • --max-memories INTEGER - Maximum memories to extract from a conversation (default: 20, 1-100)
  • --ai-model TEXT - Optional model override for conversation extraction
Examples: Simple memory: 
memanto remember "Paris is the capital of France"
With type: 
memanto remember "Customer prefers email" --type preference
With title: 
memanto remember "Will deliver report Friday" --type commitment --title "Delivery Deadline"
Lower confidence: 
memanto remember "Thinks customer is in finance" --type fact --confidence 0.7
With tags, source, and provenance: 
memanto remember "Customer moved to marketing team" \
  --type fact \
  --tags "vip,enterprise" \
  --source agent \
  --provenance inferred
Batch from file: 
memanto remember --batch batch.json
Extract from a conversation file: 
memanto remember --from-conversation chat.json
Extract from stdin: 
cat chat.json | memanto remember --from-conversation -
Preview extraction from conversation without storing: 
memanto remember --from-conversation chat.json --dry-run
Limit extracted memories and pin a model: 
memanto remember --from-conversation chat.json --max-memories 10 --ai-model anthropic.claude-sonnet-4-6
Memory Types: fact, preference, decision, commitment, goal, event, instruction, relationship, context, learning, observation, error, artifact Notes:
  • --from-conversation cannot be combined with TEXT or --batch — use one input mode at a time.
  • Conversation JSON must be an array of {role, content} message objects (up to 200 messages).
  • Batch JSON must be an array of memory objects (each needs at least content), up to 100 items per file.
  • Backed by the Remember, Batch Remember, and Extract Memories API endpoints.