Record numbered thinking steps for structured reasoning, enabling complex problems to be broken into sequential steps with branching and revision. Manage session history, reset when needed, and finalize to persist outcomes to Memory Bank.
MIT
510,539 tools. Updated 2026-09-04 07:53
"Techniques for Enhancing Memory and Augmenting Cognitive Thinking" matching MCP tools:
- Retrieve saved techniques from the TDPilot memory system, filterable by scope, tags, and favorites.MIT
- Retrieve a meta-view of your engagement with a domain over time: total conversations, thinking stage distribution, importance peaks, and cognitive patterns.MIT
- Audit content for cognitive accessibility by evaluating plain language, reading level, structure, and clarity. Get actionable recommendations to reduce cognitive load.MIT
- Perform complex reasoning with meta-cognitive reflection, hypothesis testing, and memory integration to systematically analyze problems and track confidence.MIT
- Search memory by semantic similarity to surface prior decisions, context, and evolved thinking for topic-specific conversations.MIT
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.1MIT
- AlicenseNot gradedqualityDmaintenanceTransforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.MIT
Matching MCP Connectors
Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
- Identify credential access techniques such as file harvesting, memory dumps, keychain access, registry credentials, token theft, and cached credentials.MIT
- Reconstruct your cognitive state for any domain: retrieve where you left off, including thinking stage, open questions, decisions, concepts, and emotional tone to resume your train of thought.MIT
- Transforms user requests into optimized prompts using advanced prompt engineering techniques like chain-of-thought and role-based prompting.MIT
- Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.MIT
- Request cognitive enhancement for a specific domain and task to boost reasoning and domain expertise.GPL 2.0
- Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.MIT
- Get Six Thinking Hats guidance for a specific perspective to receive thinking prompts and questions before analysis.
- Add a Six Thinking Hats perspective analysis to a critical thinking workspace after requesting thinking guidance for that perspective.
- Process complex problems through multi-modal reasoning, collaborative AI personas, and dynamic knowledge graphs. Supports analytical, creative, and critical thinking modes to generate well-reasoned solutions.
- Switch to a different cognitive room, saving current context and loading new room configuration with memory palace anchor and identity rules.
- Detects when a working set exceeds working-memory capacity and recommends chunking topics to stay within cognitive limits.MIT
- Retrieve current cognitive room status including identity rules, memory palace anchor, recent switches, and terminal mapping for AI verification.
- Retrieve all detected cognitive domains from persistent memory storage to review session content and prior decisions.MIT
- Assess system cognitive readiness and detect thinking bottlenecks. Evaluate if your infrastructure is prepared for intelligent decision-making beyond basic functionality.MIT