Structured Thinking
Helps AI systems organize their reasoning by capturing thoughts in structured stages with quality scores and metacognitive feedback. Creates a trackable history of the thinking process with branching support for exploring multiple solution paths.
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What it does
- Capture thoughts with quality scores and stage classifications
- Revise existing thoughts in the thinking history
- Retrieve relevant thoughts based on shared tags
- Generate comprehensive summaries of thinking processes
- Create thought branches for parallel reasoning paths
- Clear thinking history to reset state
Best for
AI developers building reasoning systemsResearchers studying AI decision-making processesComplex problem-solving workflows requiring structured thinkingApplications needing transparent AI reasoning trails
Metacognitive feedback systemAutomatic thought quality scoringShort-term and long-term memory management
Tools (5)
capture_thought
Stores a new thought in memory and in the thought history and runs a pipeline to classify the thought, return metacognitive feedback, and retrieve relevant thoughts.
revise_thought
Revises a thought in memory and in the thought history.
retrieve_relevant_thoughts
Finds thoughts from long-term storage that share tags with the specified thought.
get_thinking_summary
Generate a comprehensive summary of the entire thinking process.
clear_thinking_history
Clear all recorded thoughts and reset the server state.
