What problem does it solve? Managing long-term memory for AI agents and applications requires programmatic control over memories, documents, and user profiles, which is tedious through a web UI alone. This Skill provides complete terminal-based control of the Supermemory platform so you can script, automate, and integrate memory operations into any workflow. ## Core Features & Use Cases - Memory Operations: Add, search, remember, forget, and update memories with semantic search, reranking, metadata filtering, and container tag scoping. - Document & Tag Management: Ingest files and URLs, track processing status, organize content with container tags, and merge or delete tags as projects evolve. - Administration & Integrations: Manage API keys, connect Google Drive or Notion connectors, configure IDE plugins like Claude Code and Cursor, and administer team members. - Use Case: A developer building a support bot pipes each resolved ticket into Supermemory via supermemory add --stdin --tag support, then the bot retrieves relevant context with supermemory search before answering new tickets. ## Quick Start Install the Supermemory CLI with npm, run supermemory login to authenticate, then ask the agent to add a memory or search existing memories for a given container tag.
