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605,840 tools. Updated 2026-09-24 05:25

"Understanding how memory is stored or memory storage methods" matching MCP tools:

  • Scale Lizard services by adjusting replica count, CPU, memory, or storage limits to handle changing workload demands.
    MIT
  • Delete a specific stored memory entry by exact key. Use when a stored value is incorrect or no longer needed. Returns confirmation and whether the key existed.
    AGPL 3.0
  • Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Persistent semantic memory storage, associative recall, and recent memory index by namespace.

  • memoryOAuth

    Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

  • Return a usage dashboard showing session counts by surface, project, and tag, storage metrics, and the 5 most recent sessions. Provides visibility into memory usage.
    Business Source 1.1
  • Store a new memory in long-term storage for explicitly requested knowledge, decisions, or learnings, with optional links to correct or supersede existing memories.
    -
  • Reinforce or deny a stored memory pattern by confirming when user validates or denying when they contradict it for accurate AI memory persistence.
    MIT
  • View transcription memory statistics, including stored file count and total duration, to monitor usage.
    MIT
  • Delete a specific memory record using its unique ID. Helps maintain accurate and relevant memory storage by removing outdated or incorrect entries.
    MIT
  • Update existing memory entries by modifying text, tags, or metadata to keep stored information current and accurate.
    MIT
  • Fetch a ClawMem memory using an issue number or memory reference string. Retrieve specific stored data for your AI agent.
    MIT
  • Retrieve a memory by its ID, returning all metadata and content. Inspect or verify memory state after recall or update.
    MIT