Perform complex reasoning with meta-cognitive reflection, hypothesis testing, and memory integration to systematically analyze problems and track confidence.
MIT
127,264 tools. Last updated 2026-05-05 12:28
"Techniques for Enhancing Memory and Augmenting Cognitive Thinking" matching MCP tools:
- Retrieve a meta-view of your engagement with a domain over time: total conversations, thinking stage distribution, importance peaks, and cognitive patterns.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
- Monitor cognitive memory metrics including short-term and long-term memory counts, strength levels, and retrieval statistics for AI agents.
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- Retrieve information from cognitive memory using RAG queries across short-term and long-term memory stores, triggering rehearsal on relevant results.
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Monitors OpenSIPS shared-memory and per-process package-memory usage to detect out-of-memory errors and module leaks. Tracks shm for cross-process state and pkg for private memory, preventing silent call failures.
- Retrieve OpenSIPS shared and private memory usage statistics to monitor server health and diagnose issues.
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Retrieve full MITRE ATLAS records for up to 50 techniques in a single request, reducing API calls. Accepts an array of technique IDs and returns per-item status with detailed info.MIT
- 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
- Clear the current thinking session to start fresh with a new problem when previous reasoning becomes irrelevant.MIT
- Adjust runtime server settings like model selection, thinking depth, and temperature to optimize video research and analysis performance.MIT
- Validate cognitive constraint compliance by detecting unauthorized operations like synthesis or inference, ensuring safe fallback responses when needed.MIT
- Search the MITRE ATLAS catalog for AI/ML attack techniques using keyword, tactic, or maturity filters. Returns results with technique IDs, names, and descriptions to identify threats targeting AI systems.MIT
- Retrieve past sessions using natural language queries. Matches fuzzy time references and project names, returns problem-fix episodes, code diffs, and thinking blocks in a single call.MIT
- Retrieve detailed product specifications including available placements, printing techniques, sizes, colors, and design requirements for Printful catalog items.MIT
- Retrieve match telemetry for both teams: total tokens consumed, per-turn thinking time, number of tool calls, and turn count. Use for post-game analysis or mid-game cost monitoring.