Slashspace AI
An intelligent, local-first infinite canvas for multi-agent AI chat and deep research.
Free + from $49 per month
Verdict
A quick read before you dig into the full page.
- Best if
- You are researchers and need: Running investor research, competitive analysis, and financial modeling on a single canvas
- Skip if
- You need enterprise SLAs or a fully managed team plan right away
- Pick this when
- Freemium · Free + from $49 per month
Overview
Slashspace (previously Rabbitholes AI) is an intelligent, AI-native infinite canvas designed for deep work, research, and learning. It addresses the issue of 'context collapse' in traditional single-chat interfaces by allowing users to run multiple AI models and chats as connected nodes on a single spatial board. The canvas acts as a unified context space where agents can interact and see each other's work. It supports over 1,000 tool integrations, frontier AI models, Model Context Protocol (MCP), and local-first storage, ensuring all user data stays offline and private on their computer.
Best for
Short scenarios where Slashspace AI tends to shine.
-
Running investor research, competitive analysis, and financial modeling on a single canvas
Best for Researchers
-
Planning software architecture and debugging across local files with visual coding agents
Best for Founders
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Creating multi-version learning materials, summaries, and lecture notes in one spatial workflow
Best for Software Developers
Example outputs 1
Sample generations and before/after results for Slashspace AI.
Access & connections
Where you can use Slashspace AI, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- Infinite spatial canvas for running multiple AI chats as nodes
- Local-first storage ensuring data stays offline and private on your device
- Support for Model Context Protocol (MCP) and frontier AI models like GPT-5 and Claude 4
- Deep Research agents that synthesize information across dozens of sources
- Cursor coding agent integration directly on the canvas
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