A
license-
qualityA
maintenanceA local MCP memory server giving LLMs a persistent, auditable memory fabric with temporal awareness, relationship tracking, and contradiction detection.
Last updated
MIT
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"Understanding AI Thinking and Thought Processes" matching MCP servers:
- AlicenseCqualityDmaintenanceAn MCP tool enabling structured thinking and analysis across multiple AI platforms through branch management, semantic analysis, and cognitive enhancement.Last updated121MIT
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- AlicenseCqualityCmaintenanceProvides systematic thinking tools including mental models, design patterns, debugging approaches, and collaborative reasoning frameworks to enhance problem-solving and decision-making capabilities.Last updated1133MIT
- Alicense-qualityDmaintenanceFacilitates structured, progressive thinking through defined cognitive stages (Problem Definition, Research, Analysis, Synthesis, Conclusion), enabling users to break down complex problems, track thought progression, and generate summaries of their thinking process.Last updatedMIT
- Flicense-qualityDmaintenanceProvides a tool for dynamic and reflective problem-solving through structured sequential thinking, and automatically stores logs to the Recall network for on-chain persistence.Last updated17
- -license-quality-maintenanceEnables structured problem-solving through sequential thinking stages with persistent storage and analysis. Helps break down complex problems into manageable cognitive steps while tracking progress and generating summaries of the entire thought process.Last updated
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- AlicenseAqualityDmaintenanceA TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection.Last updated52728MIT
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- Alicense-qualityBmaintenanceProvides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.Last updated723MIT
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- FlicenseAqualityDmaintenanceA personal digital twin MCP server that manages professional context, including skills, experience, and project learnings. It allows AI assistants to retrieve and update user preferences and career interests across different development environments.Last updated4
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