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supermemoryai

@supermemoryai source repo

7 published skills

  1. ▌
    Supermemory Status · supermemoryai
    Show Supermemory connection status for Codex. Use when the user asks whether Supermemory is connected, which account or API key is active, memory hook health, or plugin status.
    6 installs
  2. ▌
    Benchmark Context · supermemoryai bundle
    Automatically benchmark your custom memory implementation against established systems like Supermemory. Set up a public benchmark, or create your own. Compare solutions against quality, latency, features and cost, easily, with a simple UI and CLI.
    4 installs
  3. ▌
    Preprint Browser · supermemoryai
    Use when the user points you at a Preprint workspace (a directory containing `preprint/tabs.md` and `<host>-tN.md` page files). Operate a real Chromium browser through markdown files. Read `preprint/tabs.md` to discover open tabs, read a tab's page file to see its current state, and append exactly one action under `<!-- preprint:actions -->` for the daemon to execute. Use `preprint open / close / status` for tab lifecycle. Do not call `agent-browser` directly while these files exist.
    2 installs
  4. ▌
    Memory Init · supermemoryai
    Deep codebase exploration to initialize project memory. Use when starting work on a new project or when user asks to "index" or "learn" the codebase.
    1 install
  5. ▌
    Memory Save · supermemoryai
    Save important information to persistent memory. Use when user explicitly asks to remember something, or when you've solved a significant problem worth preserving.
    0 installs
  6. ▌
    Memory Search · supermemoryai
    Search persistent memory for relevant information from past coding sessions. Use when user asks about previous work, past bugs, architectural decisions, or anything that may have been worked on before.
    8 installs
  7. ▌
    Supermemory · supermemoryai bundle
    Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.
    4 installs