Slashspace AI

Slashspace AI

Slashspace AI (formerly RabbitHoles AI) is a desktop infinite canvas where ChatGPT, Claude, Gemini and local models run side by side and every reply can be

84/100Safe BetFrom $89/yearPaid

Buy Slashspace if your AI work branches — research, literature reviews, multi-model comparison — because ⌘⇧Enter forking and source nodes for PDFs and YouTube transcripts are things a plain ChatGPT or Claude subscription simply cannot do. The $249 lifetime tier beats $89 per year (billed yearly) after roughly three years and never expires; both include two device seats and a one-time 500-credit wallet grant. Skip it if you need teammates on the same board — team sharing and collaborative canvases are still marked coming soon — or if you want a web or mobile app today.

Verified 1d ago · liveness 84/100 · cite: rightaichoice.com/tools/slashspace-ai

Best for
  • Researchers and academics synthesizing many papers, videos and PDFs
  • Founders running competitor and market research across several models at once
  • Developers who want Claude Code, Codex or Cursor output visible beside their sources
  • Students mapping a subject question by question
Not ideal for
  • Teams that need to co-edit a shared canvas — collaboration is still coming soon
  • Web or mobile-first users: Slashspace is a macOS, Windows and Linux desktop app
  • Anyone who wants one clean linear chat thread and nothing else
Visit Website

IntermediateAbout 10 minutes to first value per the Quickstart: install, sign in through the browser, pick the $89/year or $249 plan, and take the ask → branch → paste-a-source walkthrough. Connecting your own API keys or Claude/ChatGPT subscription in Settings takes a few more minutes.DesktopAPI availableVerified 1d ago
Pricing
From $89/year
Paid2 plans5 hidden costs
Learning curve
Intermediate
About 10 minutes to first value per the Quickstart: install, sign in through the browser, pick the $89/year or $249 plan, and take the ask → branch → paste-a-source walkthrough. Connecting your own API keys or Claude/ChatGPT subscription in Settings takes a few more minutes.
Runs on
Desktop
API available · 13 integrations
Who it's for
Academic researcherFounder comparing modelsDeveloper with agents
Live sentiment
Is Slashspace AI actually worth it?

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Slashspace if you need teammates on the same board, want a browser or mobile app today, or your AI work is one clean linear thread.

The 30-second take
Biggest gripe

Going past the one-time 500-credit grant means topping up the wallet: $11 buys 1,000 credits ($10 of balance plus a 10% platform fee), up to $200 at a time.

Price reality

At $89 per year (billed yearly, cancel any time) or $249 once for lifetime, Slashspace sits near a single ChatGPT Plus or Claude Pro subscription in yearly cost — but those cover one model and one thread, while Slashspace hosts several models on a canvas with BYOK options. Heavy hosted-model users should compare against paying providers directly on their own keys, which bypasses the 10% wallet top-up fee.

In short

Slashspace AI — Slashspace AI (formerly RabbitHoles AI) is a desktop infinite canvas where ChatGPT, Claude, Gemini and local models run side by side and every reply can be. Best for Researchers and academics synthesizing many papers, videos and PDFs, Founders running competitor and market research across several models at once, Developers who want Claude Code, Codex or Cursor output visible beside their sources. Plans from $89/yr.

What's new in Slashspace AI

Checked yesterday

Across the latest 2 updates: 2 news mentions.

What people actually say about Slashspace AI — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

26 mentions across 2 sources (YouTube, Product Hunt) · researched Sep 1, 2026.

80% positive20% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Canvas-first approach preserves context across branches, unlike linear chat tools.
  • +Local-first storage keeps data on device, ensuring privacy and offline access.
  • +Supports multiple AI models and providers via BYOK or credits.
  • +Drag-and-drop sources (PDFs, websites, YouTube) enrich AI context.
  • +Unlimited branches and nodes allow complex, non-linear exploration.
Recurring frustrations
  • −Installation issues on macOS and Windows reported by users.
  • −Drag-grouping of multiple PDFs is unpredictable and frustrating.
  • −Skills installation requires terminal, not beginner-friendly.
  • −Small user base means fewer tutorials and community resources.
  • −No web or mobile version limits cross-device accessibility.
Patterns worth knowing
Canvas-first design preserves context and aids spatial thinkers
Seen on Product Hunt, YouTube
Local-first storage is a key differentiator, offering privacy and flexibility
Seen on Product Hunt
Installation and setup friction (macOS and Windows issues)
Seen on YouTube
Learning curve
intermediateProductive in ~A few hours for basic setup and first canvas; longer to master skills and advanced features
Hidden costs people mention
  • • Usage credits beyond free tier may run out quickly for heavy users.
  • • Additional connectors or devices may require higher-tier plans, increasing cost.

Viability Score

84/100
Safe Bet

How well maintained and how widely used is Slashspace AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
80
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Infinite canvas for branching AI chat instead of a linear scroll
  • Branch any reply from any line with ⌘⇧Enter, or ⌘B for an empty branch, without losing the main thread
  • Run Claude, GPT, Gemini, Grok and local models side by side on one board
  • Switch any chat's model in one click, including an Auto model that picks per message
  • Web nodes that capture a page and Post nodes that fetch YouTube transcripts
  • Document nodes: chat reads full PDFs rather than a search index
  • @-mention a node to connect it as context for a chat
  • Orchestrator mode plans work, creates and connects nodes, hands pieces to subagents
  • Agent mode with tools and sub-agents inside a chat node
  • Image generation paid from the Slashspace Wallet
  • Bring your own API keys: OpenAI, Anthropic, Gemini, Grok, OpenRouter, Perplexity, DeepSeek, Groq, Qolaba, Fal
  • Any OpenAI-compatible custom endpoint
  • Run Claude Code, Codex and Cursor on your own Claude or ChatGPT subscription
  • Ollama local models for fully offline, no-API-traffic work
  • Skills and slash commands usable in any agent chat, including coding agents

About Slashspace AI

PaidIntermediateAPI availableDesktop

Slashspace AI — renamed from RabbitHoles AI, as the company's own October 8, 2026 blog post confirms — replaces the single scrolling chat thread with an infinite canvas. Every reply is a starting point: select any line, press ⌘⇧Enter, and a new connected chat node opens beside the original while the main thread stays exactly as it was. PDFs, YouTube videos (via a Post node that fetches the transcript), web pages and notes become nodes you wire into a chat, and the chat reads the full source rather than a search index. You can ask by typing or by dictation. The model layer is deliberately open. Ask Claude, GPT, Gemini, Grok and local models the same question side by side and switch any chat's model in one click; the Slashspace-hosted group includes an Auto model that picks per message. Bring API keys for OpenAI, Anthropic, Gemini, Grok, OpenRouter, Perplexity, DeepSeek, Groq, Qolaba and Fal, or any OpenAI-compatible endpoint, or run Claude Code, Codex and Cursor on your own Claude or ChatGPT subscription, or point Ollama at local models. You pay providers directly at their prices. Notion, GitHub, Gmail and hundreds more connect through Composio and MCP, and skills work in any agent chat, coding agents included. Orchestrator mode pushes past whiteboard territory: give it a goal and it plans the work, creates and connects nodes, hands pieces to subagents and returns the results to the canvas. The desktop app ships for macOS (Apple silicon or Intel), Windows and Linux with local-first storage, unlimited canvases, branches and nodes, and two device seats per plan. Be clear-eyed on scope. Video generation, team sharing, collaborative canvases and cloud sync are listed as coming soon, so today this is a solo thinking surface rather than a shared workspace, and support runs through a community channel. Pricing is $89 per year (billed yearly, cancel any time) or $249 once for the lifetime deal; Slashspace has no free trial, but both plans are refundable within 7 days.

Behind the Verdict

The premise is sound and the implementation is more concrete than most canvas-AI pitches. Chat nodes, text nodes, web nodes, document nodes, image nodes, post nodes and scratch pads are all distinct objects you place and connect, and the connection itself is the context control: mention a node with @ and it becomes what that chat reads, drag a handle and you have rewired it. Branching is one keystroke — ⌘⇧Enter sends into a new connected branch, ⌘B opens an empty one — and because the original thread is untouched, comparing three lines of enquiry costs nothing. Where Slashspace genuinely beats pasting between tabs is source handling. A YouTube link becomes a Post node that fetches the transcript; a document node holds a PDF the chat reads in full; a web node captures the page. That is a different proposition from asking a chatbot to summarise a URL. The open model layer compounds it: one question to Claude, GPT, Gemini and an Ollama model on the same board, with your own keys or subscriptions billed by the provider at their prices, so the tool itself does not meter your tokens. Orchestrator mode, which plans work, creates and connects nodes and delegates to subagents, is the feature that separates this from a mind-map with a chat box. Weaknesses are real. This is a desktop-only product for macOS, Windows and Linux; desktop web and mobile are listed as coming soon with no date. Local-first storage means no shared cloud canvas, so two people cannot work one board, and team sharing and collaborative canvases sit in the same coming-soon list as video generation and cloud sync. The wallet is a second cost surface: hosted models and tools like image generation draw on credits worth $0.01 each, top-ups cost $11 per 1,000 credits with a 10% platform fee, and mixing hosted with BYOK means tracking two bills. Support is a community channel and a Discord, not a paid SLA. Finally, a spatial canvas is a habit — if you will not move nodes around, you have paid for a chat window with extra steps. Where it fits: solo researchers, academics, founders running competitor comparisons, students mapping a subject, developers who want Claude Code or Cursor output visible beside the sources it came from. Where it does not: teams needing co-editing, mobile-first users, anyone who wants one clean linear thread, and anyone unwilling to maintain the canvas habit.

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Real-world workflow fit

Concrete scenarios for the personas Slashspace AI actually fits — and what changes day-one when you adopt it.

Academic researcher

Drops five PDFs and two conference YouTube links onto one canvas, wires them into a chat node, asks 'what are the main claims and how well are they supported?' and forks a branch for each paper that disagrees.

Outcome: A review map that keeps every source next to the conversation about it, instead of a summarised blob you can't trace back.

Founder comparing models

Puts the same competitor page into web nodes, connects four chat nodes running Claude, GPT, Gemini and a local Ollama model, and compares their reads side by side before a board meeting.

Outcome: A recorded multi-model comparison on one board, with the reasoning behind the decision preserved for later.

Developer with agents

Runs Claude Code and Cursor on their own subscriptions in chat nodes beside the repo docs, then gives Orchestrator mode a goal and lets it create and connect nodes and dispatch subagents.

Outcome: Agent output stays visible next to the sources it came from instead of scrolling away in a terminal.

Use Cases

Models Under the Hood

ClaudeGPTGeminiGrokOpenAIAnthropicOpenRouterPerplexityDeepSeekGroqQolabaFal

as of 2026-10-18

Limitations

  • Slashspace is a desktop app for macOS, Windows and Linux (priced $89/year or $249 lifetime, refundable within 7 days; no free tier mentioned).
  • Video generation, team sharing, collaborative canvases and cloud sync are listed as 'Coming soon' with no release date.
  • Built-in hosted models and AI tools draw down Slashspace Wallet credits (one credit = $0.01; top-ups cost $11 per 1,000 credits, including a 10% platform fee, up to $200 at a time), while models on your own API keys, your Claude/ChatGPT subscription, and local Ollama models do not use wallet credits.
  • Each plan allows 2 device seats.

as of 2026-10-17

Verification history

We have re-verified Slashspace AI 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-checked, vendor evidence unchanged

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$89
Over 12 months
Effective monthly
$7
Implied — billed annually

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Going past the one-time 500-credit grant means topping up the wallet: $11 buys 1,000 credits ($10 of balance plus a 10% platform fee), up to $200 at a time.
  • Hosted models including the Auto default and hosted tools like image generation draw on wallet credits, so heavy hosted use adds a bill on top of the $89/year subscription.
  • BYOK, your Claude/ChatGPT subscription and Ollama models skip the wallet entirely, so if you mix hosted and own-key models you reconcile two separate cost reports.
  • There is no free trial — the $89/year (billed yearly, cancel any time) or $249 lifetime payment is upfront, with a 7-day refund window as the only safety net.
  • Each plan covers two device seats; a third computer running Slashspace needs another plan.

Where the pricing makes sense

The company stage and team size where Slashspace AI's pricing actually pencils out — and where peers do it cheaper.

At $89 per year (billed yearly, cancel any time) or $249 once for lifetime, Slashspace sits near a single ChatGPT Plus or Claude Pro subscription in yearly cost — but those cover one model and one thread, while Slashspace hosts several models on a canvas with BYOK options. Heavy hosted-model users should compare against paying providers directly on their own keys, which bypasses the 10% wallet top-up fee.

Setup time & first value

How long it actually takes to get something useful out of Slashspace AI — broken out by persona, not the marketing-page minute.

About 10 minutes to first value per the Quickstart: install, sign in through the browser, pick the $89/year or $249 plan, and take the ask → branch → paste-a-source walkthrough. Connecting your own API keys or Claude/ChatGPT subscription in Settings takes a few more minutes.

Switching to or from Slashspace AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From RabbitHoles AI: sign in with the email you bought Rabbitholes with — if Rabbitholes is on the same computer, Slashspace first offers to import your canvases.
  • →From ChatGPT/Claude tabs: paste your API key or connect your Claude or ChatGPT subscription in Settings, then recreate key threads as chat nodes.
  • →From Ollama setups: point Slashspace at your local models under AI Settings and select them from any chat node's model dropdown.
Migrating out
  • ↗To ChatGPT or Claude directly: your own API keys and subscriptions already live with the providers, so only canvas structure is lost.
  • ↗To a team workspace: no export-to-collaboration path exists yet, since team sharing and collaborative canvases are listed as coming soon.

Integrations

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Slashspace AI”, and we withheld 6: 6 could not be judged, because “Slashspace AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Slashspace AI.

Tools that pair well with Slashspace AI

Common stack mates teams adopt alongside Slashspace AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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