OpenTag vs Superagent: Features, Pricing & Which Is Better (2026)

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

OpenTag

Open Curiosity, Inc.

Freemium

Model-agnostic AI coworker for Slack and Microsoft Teams that routes each task to the best of 80+ models and returns the work in-thread.

Model-Agnostic Routing: Routes each tagged task through Conifer to the best of 80+ models across Claude, GPT, Gemini, Grok, DeepSeek, Qwen and more, cutting model spend by around 70%.
Lives in Slack and Teams: Works where the team already collaborates, so results come back in the same thread the request started in with no separate app to open.
Sandboxed Cloud Runs: Every run executes on its own cloud machine, scoped to connected tools and torn down on completion.
Self-Proposing Automations: When the same request repeats three times, OpenTag offers to own it on a schedule, and you approve once instead of configuring a workflow.
Self-Organizing Wiki: Writes and revises pages out of how the company actually operates, sourced to the originating threads, and notes what changed when a decision moves.
Per-Person Permissions: Everyone in a channel works with the same OpenTag, but access follows the individual who asked and invite-only channels stay private.
Connector Integrations: Works with HubSpot, Gmail, GitHub, Stripe, Zendesk, Notion, PostHog and your own database.
Human Sign-Off Gate: Holds any output that would leave the company until a person approves it, and posts finished work with the steps behind it.

Recurring Team Reports: Have the Monday metrics pulled, written and posted to a channel every week without anyone re-asking.
Invoice and Collections Chasing: Schedule a weekly invoice chase across Stripe and email, with anything customer-facing held for approval.
Institutional Knowledge Capture: Keep pricing, refund policy, customer tiers and runbooks current as decisions change in channels.
Cross-Tool Analysis: Audit CAC by campaign or similar questions that span HubSpot, Stripe, PostHog and an internal database.
Support and Ops Triage: Answer routine questions from company context in-thread so teammates stop interrupting each other.
Cost-Controlled AI Access: Give a whole workspace AI help on a shared credit pool instead of buying per-seat frontier-model licenses.

Free

An open-source Mac app that gives your coding agent a home: a real browser it drives, persistent chats, git worktrees and your iPhone in the loop.

Session Sidebar: One chat per task in a single rail, each keeping its own context, resuming mid-thought and showing whether it is still running or finished.
Per-task Git Worktrees: Every chat runs on its own worktree, so several agent tasks can proceed in parallel without stepping on one another's branches.
Driven Real Browser: The agent operates an actual browser using your own logged-in sessions, so it can reproduce bugs and walk redirect chains on real authenticated pages.
iOS Simulator Integration: An iPhone simulator sits in the window, letting the agent build and inspect mobile UI without leaving the app.
Phone Pairing: Pair an iPhone to follow and steer a run away from your desk, with the relay end-to-end encrypted.
Local-only Architecture: No Superagent account, server or telemetry — nothing leaves your Mac and there is no second subscription to buy.
Open Source under MIT: The Mac app, iPhone app and relay are all published on GitHub under the MIT license and the build is notarized by Apple.
Bring Your Own Agent: Works with Claude Code today on the subscription you already have, with Codex and Antigravity announced as coming.

Parallel Feature Work: Run several coding tasks at once, each isolated on its own git worktree, and check back on whichever finishes first.
Debugging Authenticated Flows: Let the agent open the real browser on your logged-in session to reproduce a login redirect loop or a flaky auth test.
Mobile UI Iteration: Build and visually inspect an iOS interface through the embedded simulator while the agent edits the code.
Long-running Refactors: Kick off a migration such as moving a repo to pnpm, close the laptop, and follow progress from a paired iPhone.
Privacy-sensitive Codebases: Use a coding agent on proprietary code with no account, server or telemetry involved.
Reviewing Agent Work: Watch step counts, diffs and per-file changes in a desk-style UI rather than scrolling terminal output.