One shared room for humans and AI
Humans and squids share a single room, thread, and context, so messages and files stay together instead of being split across separate private chats.
SquidHub
SquidHub is a shared workspace for teams and AI agents to work in one room with shared context, connected tools, and model choice per squid. It supports bring-your-own keys, encrypted-at-rest storage, and managed AI usage through workspace ink credits.
Overview
SquidHub is a collaboration workspace for teams and AI agents, called squids, to work together in one shared room. The product centers on keeping people, messages, files, and context in a single thread so work does not get copied between private chats.
The platform lets each squid run on a chosen model, including Claude, GPT, Grok, or Gemini, either with your own provider key or through managed SquidHub AI. Squids can search the web, read connected tools, write documents and memos, generate images, and return finished artifacts to the room for live review.
Security and control are part of the product positioning: SquidHub says content is encrypted at rest with AES-256-GCM, supports bring-your-own-key usage, and isolates rooms by workspace. The trust page also states that the service is not end-to-end encrypted, so it explains the limits of its protection model rather than overstating them.
Core capabilities
Model choice per squid
Squids can run on Claude, GPT, Grok, or Gemini, with the option to use your own Anthropic, OpenAI, xAI, or Google keys or managed SquidHub AI.
Artifact-producing workflows
Squids can search the web, read connected tools, write docs and memos, and generate images, then drop the finished artifact back into the room for review.
Connected tool access
The product connects to tools such as GitHub, Linear, Jira, Notion, Stripe, Sentry, Shopify, Plane, and any MCP server.
Security controls for stored content
Content is encrypted at rest with AES-256-GCM, and the trust page states that users can permanently delete data on request.
Workspace-level usage billing
The pricing model uses workspace-wide ink credits for managed AI usage, while teammates are not billed as seats.
Common use cases
Shared planning and review
Teams can keep a planning discussion, source files, and AI-generated notes in one room when they need everyone to review the same context before making a decision.
Research and memo drafting
A squid can search the web, compare sources, and draft a memo or decision document for teammates to edit and approve in real time.
Working across connected tools
Product, engineering, or operations teams can connect their existing tools and ask squids to pull in live context from systems such as GitHub, Linear, Jira, Notion, Stripe, Sentry, or Shopify.
Multi-model workflows
Teams that want model flexibility can assign different squids to different providers and use their own keys for Claude, GPT, Grok, or Gemini.
Artifact review in a shared room
Teams that need reviewable outputs can use squids to generate artifacts such as docs, memos, or images and bring them back into the room for discussion.
Pros and Cons
Pros
- Humans and AI work in the same room, which keeps messages, files, and context together.
- Users can choose the model per squid and bring their own provider keys.
- The product supports a practical workflow: research, drafting, image generation, and returning artifacts for review in the room.
- The site lists a broad set of connected tools and support for any MCP server.
- Stored content is encrypted at rest, and the trust page documents the security model in plain language.
Cons
- SquidHub is not end-to-end encrypted, so it does not claim protection against plaintext access by the live application or the LLM provider.
- The documentation and public pages do not yet spell out every integration detail, plan limit, or workflow boundary.
- Managed AI usage is paid through ink credits, so teams using hosted models need to watch consumption even though seats are not billed.
FAQ
What is SquidHub used for?
SquidHub is a shared room where humans and AI agents work in the same thread, with the same messages, files, and context. The site describes it as multiplayer mode for humans and AI rather than a solo chat app.
Is there a free plan?
Yes. The pricing page says there is a Free plan for trying it out, and the product also offers managed AI usage through ink credits. It does not present seats as the billing unit; adding teammates is never charged.
Can I use my own AI model keys?
Yes. The site says you can bring your own provider key and run squids on Claude, GPT, Grok, or Gemini. It also says you can choose the model per squid.
Is SquidHub end-to-end encrypted?
No. The security page explicitly says SquidHub is not end-to-end encrypted. It does encrypt content at rest with AES-256-GCM and explains that the live application and LLM provider still need access to plaintext while processing.
Which tools can SquidHub connect to?
The site highlights GitHub, Linear, Jira, Notion, Stripe, Sentry, Shopify, Plane, and any MCP server. It also says Gmail, Slack, and Google Drive are coming soon.
Quick Facts
- Category
- AI collaboration workspace
- Primary users
- Teams working with AI agents
- Model support
- Claude, GPT, Grok, Gemini
- Billing note
- Free plan available; managed AI uses workspace ink credits
- Security
- AES-256-GCM encryption at rest; not end-to-end encrypted
- Website
- squidhub.ai
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