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Slashspace

Slashspace

An intelligent, local-first infinite canvas for multi-agent AI chat and deep research.

Slashspace screenshot

Introduction

Slashspace turns AI chat into a visual workspace, letting researchers, founders, students, and developers run multiple models, files, and agents on one connected canvas. I like that it tackles messy context switching while keeping data local, so deep research, planning, and coding work stay organized and private rather than buried in chat tabs.

Features of Slashspace

    Run multiple AI chats as connected nodes on an infinite canvas

    Keep projects local-first with offline private data storage

    Bring MCP tools, integrations, and leading AI models into one workspace

    Launch research agents that compile insights from many sources

    Use Cursor coding agents alongside files and notes on the board

Use cases for Slashspace

    Map investor research, competitor notes, and financial models in one view

    Plan software architecture and debug code with visual AI agents

    Turn PDFs, websites, and videos into study notes and lesson variants

    Coordinate multi-agent research without losing context across chats