{"best_for":["Researchers","Knowledge workers","Students","AI power users"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/rabbitholes-ai","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/rabbitholes-ai.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-036.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: RabbitHoles AI (https://aitoolsforbusiness.ai/rabbitholes-ai)"},"features":["Infinite Canvas Interface: A spatial workspace where chats are organized as nodes that can branch into multiple conversation paths.","Multi-Model Support: Supports switching between or simultaneously using different AI models including ChatGPT, Claude, and Gemini.","Local LLM Support: Supports Ollama for users who run large language models locally on their own hardware.","Source Integration: Allows users to add PDFs, images, YouTube videos, and documents to the canvas to provide context for chats.","Model Settings Control: Provides options to adjust system prompts, temperature, and top_p, subject to model support.","Local Data Storage: Conversations are stored locally on the device and can be exported as JSON or markdown files."],"freshness_status":"fresh","name":"RabbitHoles AI","pricing_note":"RabbitHoles AI is available as a one-time purchase of $89 for one year of updates or $249 for a lifetime license. Users must provide their own API keys.","pricing_url":"https://www.rabbitholes.ai/pricing","primary_category":"Productivity","profile_last_verified":"2026-06-05T17:57:21.063Z","secondary_categories":[],"short_description":"RabbitHoles AI is a node-based AI chat canvas that supports multiple AI models and local LLMs on a single workspace.","slug":"rabbitholes-ai","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/rabbitholes-ai","use_cases":["Research and Brainstorming: Using the node-based system to explore multiple related ideas and create a visual map of research findings.","Comparative Model Testing: Running the same prompt across different AI models on one canvas to compare responses.","Document-Based Analysis: Adding research papers or PDFs to the canvas to help the AI summarize or query the content.","Content Outlining: Using branching nodes to develop different versions of a draft or outline."],"website_url":"https://www.rabbitholes.ai/"}