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

A side-by-side comparison of Aside and Backdrop — 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.

Paid

AI coworkers Alex (PM) and Sam (engineer) that run product ops and small technical work, connected to Slack, Notion, Linear, and GitHub.

Alex — AI PM: Reads customer feedback, turns signals into specs, runs sprint planning, chases stalled work, and keeps a decision log so the team stays aligned without micromanagement.
Sam — AI Engineer: Handles copy changes, website tweaks, broken automations, and one-off reports; for software teams also takes on features, bug fixes, PRs, and code-review back-and-forth.
PM ↔ Engineer Handoff: Alex and Sam work together directly so plans and implementation never diverge.
Approval-gated Actions: Every merge, message, or new ticket waits for a human 'yes' from Slack or the Backdrop dashboard.
Shared Product Memory: One persistent memory of decisions, customer feedback, and the 'why' behind them — the whole team can query it.
Native Tool Integrations: Runs inside Slack, Notion, Gmail, Linear, and GitHub — no separate app to babysit.
Task Visibility: Every task, status, output, and linked ticket is in one dashboard; full conversation thread and timestamped action log for every task.
Coworker Identities: Alex and Sam have their own identities and can be worked with in Slack, on tickets, or the dashboard like human teammates.

Extra PM Bandwidth: A founder or existing PM offloads spec-writing, sprint planning, and follow-ups to Alex instead of hiring another product manager.
Clearing the 'Small Tasks' Backlog: Anyone can hand Sam the copy change, dashboard tweak, or broken automation that would otherwise sit in the backlog for weeks.
Shipping Features Without Hiring: Software startups let Sam pick up features and bug fixes, opening PRs the human team reviews.
Institutional Memory: Growing teams stop losing context when people leave — Alex maintains the shared 'why' for every product decision.
Backlog to Done in Days: Requests that would have sat for weeks get picked up, worked, and returned with human sign-off in days.
Ops for Non-Technical Founders: Non-technical founders run product operations without a dedicated ops lead.