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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.
Give AI persistent memory, causal reasoning, learning, and predictive assistance.
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.
Give AI assistants persistent structured memory and a personal wiki across sessions.
Turn an Obsidian vault into persistent working memory for your AI.