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314,038 tools. Last updated 2026-07-28 10:56

"Understanding Persistent Memory and Context Management" matching MCP tools:

  • Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.
    MIT
  • Save facts, observations, or context to persistent memory for recall across sessions. Optionally categorize entries for organized retrieval.
    MIT
  • Store a dialog turn with role, content, and metadata to persistent session memory for later retrieval and context assembly.
    MIT
  • Save facts, decisions, or context to persistent encrypted memory, ensuring information persists across sessions.
    Apache 2.0

Matching MCP Servers

Matching MCP Connectors

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

  • MCP server for accessing curated awesome list documentation

  • Search persistent memory for prior context and decisions before answering project-specific questions. Prevents amnesia by retrieving stored information.
    MIT
  • Store typed events in an agent's persistent memory log. Each appended event is retrievable later for context and reasoning.
    MIT
  • Store important notes, decisions, and preferences in persistent memory for access across sessions. This tool helps maintain project context and user patterns by saving searchable information to local storage.
    MIT
  • Retrieve relevant context from memory collections via search query, enabling outcome-based persistent memory for AI coding tools.
    Apache 2.0
  • Store a memory with tags, context, importance, and namespace. Build a persistent, correctable AI memory that surfaces corrections first.
    MIT
  • Append new entries to persistent memory for AI agents. Store market observations, trade records, and notes to maintain long-term context and recall.
    Business Source 1.1
  • Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.
    MIT
  • Store key-value pairs in persistent memory to save user preferences, project decisions, and session context for future use.
  • Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.
    MIT
  • Execute JavaScript in a Frida agent's persistent context to hook functions, inspect memory, and analyze runtime behavior during dynamic debugging.
  • Replace the existing per-friend memory blob to store persistent facts across sessions. Retrieve current memory first to merge updates.
    Apache 2.0