Retrieve a meta-view of your engagement with a domain over time: total conversations, thinking stage distribution, importance peaks, and cognitive patterns.
MIT
261,538 tools. Last updated 2026-07-05 13:39
"Techniques for Enhancing Memory and Augmenting Cognitive Thinking" matching MCP tools:
- Perform complex reasoning with meta-cognitive reflection, hypothesis testing, and memory integration to systematically analyze problems and track confidence.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
- Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.MIT
- Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.MIT
- 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.
Matching MCP Servers
- Alicense-qualityBmaintenanceEnables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.Last updated1MIT
- Alicense-quality-maintenanceTransforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.Last updatedMIT
Matching MCP Connectors
Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
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.
- Retrieve detailed sandbox behavioral analysis for a file hash to understand malware capabilities, including process activity, network connections, and MITRE ATT&CK techniques. Essential for threat detection and incident response.MIT
- Retrieve the current user's cognitive identity and active session context, including role, expertise, project focus, and recent memory themes, to personalize AI responses without re-explanation.MIT
- Return a seven-day rollup of activities from your cognitive graph, optionally filtered by project. Requires signed-in account and connected storage.AGPL 3.0
- Recomputes connections, idea sources, and agent feedback from the last 90 days to update the thinking profile.AGPL 3.0
- Erase all recorded preference signals and reset the thinking profile to its default configuration, removing all personalized adjustments.AGPL 3.0
- Retrieve the current thinking profile from the system configuration, falling back to a default structure if the file is missing.AGPL 3.0
- Fetch a cognitive-bias or principle entry from the DeFi UX glossary to anchor UX analysis with a named concept and its DeFi manifestation.MIT
- Map any CVE to related MITRE ATT&CK techniques and associated threat groups for actionable threat intelligence.Apache 2.0
- Add a fact to your cognitive graph by specifying subject, predicate, and object. Referenced entities are created automatically.AGPL 3.0
- Generate ASCII art of a thinking cow with custom messages. Use various characters like dragons, penguins, or skeletons to create fun text-based art for documentation or entertainment.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Clear the in-memory thinking state to start a fresh session without deleting prior data. Requires confirmation to prevent accidental clearing. Use when switching to an unrelated problem.MIT
- Search the MITRE ATLAS catalog for AI/ML attack techniques by keyword, tactic, or maturity to find techniques matching threat-model questions.MIT
- Name and describe a thinking session to make it searchable and identifiable for future retrieval.MIT