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743,793 tools. Updated 2026-11-04 21:42

"Finding the best memory MCPs for in-session management" matching MCP tools:

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  • Create reusable Python modules in an active Maya session by injecting in-memory functions into sys.modules, enabling agents to define helper libraries that persist during the session.
    MIT
    Destructive
  • Provides onboarding guidance for Memento's long-term memory system, including retrieval workflows, storage protocols, and best practices for cross-session knowledge management.
    MIT
  • Provides onboarding guidance for using the Memento memory system, including retrieval flows, storage protocols, and best practices for persistent project context.
    MIT
  • List all configured WordPress sites in the current session. Call this tool first to see available sites for management.
    MIT
  • Terminate the active Chrome debugging session and clear the in-memory pause state. Use this before starting a new session to avoid stale state and breakpoint conflicts.
    MIT
  • Identify potentially obsolete knowledge in the memory database by finding memories with low confidence scores for periodic cleanup and quality assurance.
    MIT
  • Compact and persist session memory into the context pyramid: generates a session summary, rolls it up into a branch summary, and updates the project overview at session end.
    MIT
  • Retrieve current session settings for Unreal Engine resource work: umodel executable path, game directory, output directory, and AES keys. Settings are held in memory only for this server session.
    MIT
  • Retrieve recent memory readings from an active STM32 live memory session by session ID, returning the last N buffered entries without reading the JSONL file.
    MIT
  • Compare lap times, sector performances, speeds, and theoretical best laps for 2–10 drivers in a session to see deltas against the leading driver.
    MIT
  • Retrieve the in-memory price history recorded during the current session for a Pyth symbol or feed ID, with an optional limit on returned records.
    MIT