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150,411 tools. Last updated 2026-05-28 05:14

"Information About Persistent Memory" matching MCP tools:

  • Store information securely in persistent encrypted memory for AI agents. Ensures data sovereignty and compliance with GDPR erasure.
    Apache 2.0
  • Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.
    MIT
  • Store information in persistent memory for multi-agent collaboration, enabling key-value data storage with optional expiration and type categorization.
    MIT
  • Retrieve stored information from persistent memory using keys or filters to access data for collaborative agent workflows in multi-agent systems.
    MIT
  • Store a fact in persistent memory by providing a key and value. Retrieve it later using the key to access information across sessions.
    MIT
  • Retrieve stored data from persistent memory using a specific key to access previously saved information.

Matching MCP Servers

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    Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.
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    MIT
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    A memory management system that enables AI assistants to store, search, and visualize persistent conversation contexts using a Neo4j graph database. It provides an MCP server for integration with Claude Desktop along with a web-based dashboard for managing relationship-based knowledge.
    Last updated
    MIT

Matching MCP Connectors

  • Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.

  • Cloudflare Workers MCP server: agent-memory

  • Retrieve structured memory entries from your vault's About Me/ files. Access preferences, principles, or opinions by specifying a file and optional section.
    MIT
  • Save information like preferences, lessons, or project context to a persistent local database. Memories are retained across sessions and can be retrieved later.
    MIT
  • Store user information like personal details, preferences, and facts for future recall across conversations using persistent memory.
    MIT
  • Save key-value pairs to persistent memory across sessions for remembering user preferences, installed skills, or project context.
    MIT
  • Delete a specific memory by providing its unique ID. Removes unwanted or outdated memories from persistent storage.
    MIT
  • Remove stored information from persistent memory by specifying its unique identifier to maintain accurate long-term context.
    MIT
  • Retrieve schema and information about a Redis search index, including fields and attributes, to support troubleshooting and optimization.
    MIT
  • Retrieve detailed information about a Postman environment using its environment ID.
    Apache 2.0
  • Retrieve complete information about a specific tool, including all details about its input schema and purpose.
    MIT
  • Store text information and metadata in a Qdrant collection for later retrieval, enabling persistent memory across sessions.
    Apache 2.0
  • Retrieve detailed information about an API specification using its unique ID.
    Apache 2.0