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134,317 tools. Last updated 2026-05-24 02:40

"Techniques for enabling agents to retain and utilize information across multiple sessions" matching MCP tools:

  • Store confirmed facts in shared memory for AI agents to retain knowledge across sessions, using entity/key/value triples with conflict detection.
    AGPL 3.0
  • Search cached session and activity data for quick retrieval. Use to filter by type or state across multiple sessions without fresh synchronization.
    MIT
  • Store information like facts, preferences, or events in MemoVault's long-term memory system for persistence across sessions.
    MIT
  • Enable, disable, or check cache persistence status to retain data across sessions, speeding up builds in long-running projects and CI environments.
    MIT
  • Execute shell commands with persistent sessions. Sessions maintain working directory, environment variables, and state across calls. Use session_id for multiple independent sessions.
    MIT

Matching MCP Servers

  • A
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    quality
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    maintenance
    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
    Last updated
    19
    MIT

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Add a comment to a task to maintain a chronological discussion thread, enabling context preservation across sessions.
    MIT
  • Store information for later recall to persist data across AI agent sessions, enabling memory retention and organized storage with optional categorization.
    MIT
  • View all active terminal sessions to monitor and manage multiple command-line interfaces across platforms.
    MIT
  • Deploy multiple sub-agents to a specified project directory, enabling specialized task execution and team composition for enhanced project analysis.
    MIT
  • Save new information as persistent memory entries for AI agents across sessions, organizing content into categorized sections with tags.
    MIT
  • Store and recall persistent memory across agents, sessions, and tools. Enable context retention and data sharing between different AI agents for consistent interactions.
  • Retrieve open interest and trading volume for cryptocurrency options across multiple exchanges using a symbol. Supports pagination for large datasets.
    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
  • Create a shared context space for multiple AI agents to collaborate. Grant read/write permissions to specific agents and set tags for organization.
    MIT
  • Identify wallet addresses that control multiple linked AI agents. Use this tool to find multi-agent teams operating within the ERC-8004 relationship graph.
    MIT