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164,172 tools. Last updated 2026-05-31 02:42

"How to Manage AI Memory Effectively" matching MCP tools:

  • Retrieve detailed documentation and examples for all API debugging tools. Understand how to use api_debug, api_login, api_config, and api_execute effectively.
  • Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.
    MIT
  • Analyze your domain's citation frequency across AI platforms for up to 10 keywords. See where AI models reference your site to improve visibility.
    MIT
  • Lists all memory volumes (projects) accessible by your API key, each serving as an independent memory space for persistent memory management.
    MIT

Matching MCP Servers

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    Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.
    Last updated
    22
    Apache 2.0
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    Provides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.
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    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

  • Store memory observations with tags, importance, context, and optional auto-expiration. Persist AI agent knowledge with configurable TTL.
    MIT
  • Inspect a memory's full lifecycle by providing its ID to see all events from creation through updates, recalls, links, and deletion. Understand why the memory exists and how it evolved over time.
    MIT
  • Reinforce or deny a stored memory pattern by confirming when user validates or denying when they contradict it for accurate AI memory persistence.
    MIT
  • Store or update a JSON value for a memory key with optional TTL, importance, source, and confidence score. Persists AI agent memory across sessions and changes.
    MIT
  • Retrieve a breakdown of credit usage by feature and product scope, showing how credits are consumed across voice AI, voice models, and platform services.
    MIT
  • Manages conversation memory through hierarchical storage, adaptive retrieval, compression, knowledge graphing, inspection, and curation to maintain context integrity in long AI dialogues.
    MIT
  • Fetch a ClawMem memory using an issue number or memory reference string. Retrieve specific stored data for your AI agent.
    MIT
  • Access the complete Astria operating guide to learn available tools, recommended workflows, and best practices for persistent memory management.
    MIT
  • Access detailed documentation for memory and config tools. Specify a topic to get instructions on using specific server features.