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how-to-maintain-memory-during-or-after-conversations MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

75,324 tools. Last updated 2026-02-25 16:50
  • Create a new Letta agent with custom configuration, name, and description to manage conversations, tools, and memory blocks within the Letta system.
    MIT
  • Create context from memory:// URLs to maintain coherent conversations or explore linked topics. Supports natural language timeframes and structured path formats for efficient knowledge retrieval.
    AGPL 3.0
  • Enables AI assistants to perform real-time web searches during user conversations, providing accurate and contextually relevant information directly within the interaction.
    MIT
  • Retrieve and build context from memory URLs to continue conversations naturally, using semantic search to follow up on previous discussions or explore related topics.
    AGPL 3.0
  • Store information in a vector database for future reference, enabling AI assistants to maintain persistent memory across conversations.
  • Retrieve conversation history from memory URLs to maintain context and enable natural follow-ups on previous discussions or related topics.
    AGPL 3.0

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