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

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

mvschwarz

Free

OpenRig is open-source software to define a team of Claude Code and Codex agents in YAML and run them as one persistent, managed system.

YAML Rig Definitions: Describe an agent team with roles in YAML and boot it with a single command.
Mixed Harnesses: Run Claude Code and Codex agents together in the same rig, managed as one system.
Lead Agent Coordination: Talk to a lead agent that coordinates specialists across teams and reports back decisions needing attention.
Persistent Teams: Keep team work and context at stable addresses instead of a pile of terminal sessions.
Terminal UI: View the rig as a graph or a table of seats showing runtime, model, context and state, with per-seat detail.
Guided First Use: A getting-started path installs, launches a two-agent team in your repository and produces one reviewed change.
Permission Allowances: Optionally lets your agent add scoped native rules so OpenRig commands run without repeated prompts, with an undo.
CLI Install: Distributed as @openrig/cli on npm, requiring Node.js 22 or 24 and tmux on macOS or Linux.

Multi-Agent Coding Teams: Stand up a persistent team of coding agents with defined roles for a repository.
Cross-Harness Workflows: Combine Claude Code and Codex strengths within one coordinated team.
Outcome-Driven Delegation: Describe a desired outcome to a lead agent and let it split work among specialists.
Agent Monitoring: Watch seats, models, context and state of many agents from one terminal UI.
Reviewed Changes: Have agents produce a change in a repo and another review it before you merge.
Agent Research Experiments: Prototype and study networks of cooperating agents on your own machine.