Raccoon AI
One Prompt To Finished Work: Collaborative AI Agent Workspace
by Flying Raccoon Private Limited · HSR Layout, Bengaluru, Karnataka, India · Founded 2024
What is Raccoon AI?
Raccoon AI is a general-purpose collaborative AI agent from Flying Raccoon that turns a single prompt into finished, shippable work.
Built on the in-house ACE agents SDK, it spins up its own cloud computer with a terminal, browser and embedded database, then researches, writes, designs and codes in full view while you steer it mid-run.
Professionals connect Gmail, Drive, GitHub, Notion and custom MCP servers, teach it reusable skills, and publish outputs to live URLs. Sessions retain files, memory and running servers between visits.
Raccoon AI — One Prompt To Finished Work: Collaborative AI Agent Workspace Whether you're evaluating Raccoon AI for your team or comparing it to alternatives in the AI Productivity Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is Raccoon AI For
Pros & Cons
- SOTA GAIA Benchmark Score (92.67)
- Platform-Enforced Per-Tool Guardrails
- Sandbox State Survives Across Sessions
- Native SKILL.md Portability Between Agents
- Concurrency Capped On Lower Tiers
- No SOC 2 Certification Yet
- Browser Agent Remains Experimental
Frequently Asked Questions
5 questionsACE is Raccoon's in-house agent runtime that handles planning, tool routing and sandbox execution. It reports a state-of-the-art GAIA benchmark score of 92.67 and powers both the web workspace and the public API.
Yes. Raccoon reads the open SKILL.md standard natively, so skills exported from Claude Code, Codex, Gemini CLI, Cursor or Manus can be imported from a zip or public repository and gain declared connectors plus enforced guardrails.
Sessions are persistent UUID-identified workspaces where files, credentials, history and processes survive. Each turn is one request-response cycle that builds on prior context, with events streamed live over a WebSocket endpoint.
The agent runs in auto, code, deepsearch, slides and plan modes. Plan mode drafts an editable checklist first, while deepsearch prioritises cited research and code mode favours development tooling.
Sandbox files and snapshots are kept for 30 days after last access on the free tier and 90 days on paid tiers. Task execution logs are retained for one year, and deployed apps stay live on Raccoon's infrastructure.
Who is Raccoon AI for?
Raccoon AI is most useful for Startup Founders, Product Managers, Growth Marketers and Data Analysts.
Raccoon AI pricing
Raccoon AI uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: Free forever plan; Plus from $19/mo, higher usage tiers up to $79/mo. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
Trusted Reviews
Verified PlatformsWhat's New
weeklySkills bundle instructions, tools, modes and allow/deny lists into auto-loading SKILL.md packages, while subagents handle parallel work in inspectable sessions sharing the same files.
Usage limits now update in real time as they are consumed, with alerts fired at defined consumption thresholds.
User Base
Security & Privacy
India (HQ), US and global cloud providers with Standard Contractual ClausesCollaboration & Teams
Learning & Support
Resources
Community
Support Channels
Localization
Recognition & Trust
All Features of Raccoon AI
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Raccoon AI Pricing
Free forever plan; Plus from $19/mo, higher usage tiers up to $79/mo
- Standard usage limits subject to demand
- 1 concurrent task
- Deploy apps to production
- Access to ACE Fast
- Everything in Free
- 2x higher usage limits
- Full access to all modes
- Workspace connectors
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