Aside vs SquidHub: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Aside and SquidHub — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Aside

Aside Computer Inc.

Freemium

A Chromium desktop browser with a built-in agent that signs in and completes real work across your logged-in sites.

Agentic Browsing: The agent operates your logged-in websites directly - clicking, typing and navigating - so tasks that need no public API still get done.
Local Memory: Browsing history is distilled into on-device memory files so the agent already knows which tools and accounts a recurring task involves.
Agent Password Manager: Credentials are autofilled into pages through hardware-backed encryption and Secure Enclave storage, never handed to the model.
Human Approval Gates: Sensitive steps such as payments, posts and outbound messages pause for your confirmation before the agent proceeds.
Access Audit Log: Every credential use and scoped permission grant is recorded so you can see exactly what the agent touched and when.
Routines: Scheduled recurring tasks, such as a 9am daily briefing, run on their own and drop results back into the browser.
Bring Your Own Model: Connect an existing ChatGPT or Claude subscription or your own API key rather than paying twice for inference.
Sandboxed Execution: Filesystem and network access are isolated with guardrails so agent runs cannot reach beyond what the task needs.

Operations Backfill: Push the same record update through several internal dashboards that have no shared API.
Recruiting Prep: Reopen a candidate profile viewed yesterday and assemble interview notes from the sites already visited.
Inbox and Comment Triage: Draft replies, follow-ups and comment responses across email and social accounts under review.
Daily Briefing: Schedule a routine that gathers overnight metrics and trending topics into one morning summary.
Sales Research: Work through prospect sites and CRM screens to collect context before an outreach sequence.
Spreadsheet and Document Work: Have the agent edit local files and web spreadsheets as part of a longer task.

Freemium

A secure, shared workspace where humans and their AI agents (“squids”) collaborate in encrypted rooms; bring-your-own-AI friendly.

Multiplayer Rooms: Persistent, shared rooms where multiple humans and squids collaborate in real time and retain contextual history for ongoing tasks and projects.
Squid Agents: Native concept of AI agents ('squids') that participate alongside humans to suggest content, perform actions, and automate routine work within rooms.
Bring-Your-Own-AI Integration: Supports connecting external AI models and agents so teams can use preferred providers or self-hosted models inside the workspace.
Encrypted Storage: Data stored by the platform is encrypted at rest to protect sensitive conversations, documents, and artifacts shared in rooms.
Contextual Collaboration: Maintains shared context and conversation history so both humans and agents can reference prior exchanges, documents, and decisions for coherent outputs.
Agent Coordination: Enables multiple agents to operate and be coordinated within the same environment, allowing orchestration of complementary agent behaviors with human oversight.
Room-based shared workspaces for humans and agents
Support for multiple AI agents ('squids') collaborating with humans
Encrypted at rest storage for workspace data
Bring-your-own-AI capability to connect external models/agents
Persistent conversations and context within rooms
Designed for multi-user, multi-agent coordination
Focus on secure collaboration and access control (details not specified)
Platform-level orchestration of human-agent interactions

Co-authoring and editing: Teams and their AI agents jointly draft, edit, and iterate on documents, proposals, and reports within a single room preserving context and history.
Brainstorming and ideation: Human teams run collaborative ideation sessions where squids propose concepts, generate alternatives, and humans refine selections.
Automating routine workflows: Squids monitor room activity to perform repetitive tasks (summaries, tagging, follow-ups) and surface results to human collaborators.
Research synthesis: Collect sources and raw notes in a room and have squids synthesize findings, produce summaries, and generate action items for the team.
Customer response drafting: Agents prepare suggested replies to customer queries within shared rooms for human review and approval before sending.
Team collaboration with agent assistants participating in meetings and threads
Augmenting workflows with user-provided models for content creation or summarization
Co-pilot scenarios where agents help users with tasks inside shared rooms
Coordinated multi-agent automation inside project or topic rooms
Knowledge work and research where agents surface or synthesize information for teams