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Turn AI assistants into research-grade workspaces for reasoning, memory, and evidence-based analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cognitive Canvas" yet — see the docs or source repo.
Combine the paper abstracts, interview notes, and web notes I provide into a research findings document: cluster by theme, cite evidence sources, rate confidence for each conclusion, and track open questions for later validation.
A structured research summary with themes, evidence trails, confidence notes, and a validation backlog.
Act as the long-term cognitive assistant for this project: maintain project memory for key decisions, assumptions, unresolved issues, and related materials; when I ask new questions, use prior context first and flag any conflicting information.
An evolving project knowledge base and answers grounded in historical context.
Analyze the causes of declining user retention: break down hypotheses, list data needed for validation, distinguish facts from speculation, and propose the next investigation steps.
A systematic analysis report with a hypothesis tree, evidence requirements, and investigation recommendations.
Query multiple AI models in parallel and synthesize more balanced answers.
Access and manage Canvas courses, grades, assignments, planner, and files.
Lets AI search and query documentation with flexible retrieval configurations.
Query Canvas courses, assignments, grades, and learning details in natural language.
Build self-hosted visual AI workflows with agents, RAG, HITL, and observability.
Access Canvas LMS data and safely perform course-related actions via API.