Slashspace

What is Slashspace?

Slashspace (formerly RabbitHoles AI) is a desktop AI workspace that replaces linear chat windows with an infinite spatial canvas. Instead of copying prompts between disconnected chat apps, users place multiple AI conversations as interconnected nodes on a shared canvas where all agents can see each other's context. The platform supports frontier models like GPT-5, Claude 4, and Gemini 3, connects to 1000+ tools including email and Slack, and stores all data locally on the user's device for privacy. Key capabilities include deep research agents that synthesize across dozens of sources, image generation within the canvas, MCP server integration, and Cursor coding agent support.

Key Features

• Spatial Canvas Workspace

  Multiple AI conversations and agents sit side by side on one infinite canvas, allowing users to connect related threads instead of scrolling a single chat history.

• Multi-Model Access

  Access frontier models from OpenAI, Anthropic, and Google including GPT-5, Claude 4, and Gemini 3, with bring-your-own-key support on paid plans.

• Local-First Storage

  All canvases and data stay on the user's device with offline use, ensuring full privacy for sensitive client or research work.

• 1000+ Tool Connections

  Connect to email, Slack, calendar, and other tools to make AI perform actions directly from the canvas without switching apps.

• Deep Research Agents

  Multi-step research agents synthesize findings across dozens of sources and return results to the canvas for follow-up questions.

• MCP and Cursor Integration

  Native Model Context Protocol support and Cursor API integration enable coding agents and tool calling workflows alongside research.

Use Cases

• Investor Research & Competitive Analysis : Run investor research, competitive analysis, financial modeling, and strategy sessions all on one canvas without losing context.
• Educational Content Creation : Lecturers and teachers create learning materials with multiple context versions, summaries, and variations in record time.
• Deep Research Projects : Researchers dive deep into topics with multi-step agents that synthesize across sources, preserving all findings on the canvas.
• Software Development : Developers connect Cursor coding agents to the canvas, running powerful coding workflows next to research and documentation.
• Visual Concept Generation : Create and iterate on images directly within the canvas workspace for concepts, artistic content, and visual designs.

FAQs