ChatHop vs hob: Features, Pricing & Which Is Better (2026)

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

ChatHop

Freemium

Moves an in-progress AI chat, with its context, into a different assistant in one click, or copies the whole thread out.

One-Click Conversation Transfer: Pick a destination AI and a reason for moving, and ChatHop carries the existing conversation context into a fresh chat there.
Review Before Send: The transferred conversation lands in the destination composer for you to read and edit; nothing is submitted until you act.
Optional Auto-Send: Auto-send can be enabled for faster hops but ships off by default, so transfers never fire without your say-so.
Full Chat Export: Copy an entire conversation to the clipboard as plain text or Markdown for pasting into docs, email, notes apps, code editors, or Slack.
Multi-Service Support: Works with the major AI chat services already in a typical daily workflow, so you keep working where you work.
No-Account Start: 20 free uses every month with no signup, password, or card required to begin.
Scoped Context Access: Conversation content is read only at the moment you initiate a transfer or copy, not continuously in the background.
Billing Isolation: Conversation text is never sent to ChatHop's billing service, and Stripe handles checkout so full card details are never exposed to ChatHop.

Escaping a Rate Limit: When one assistant cuts you off mid-task, hop the whole thread to another service and continue without re-priming it.
Getting a Second Opinion: Move a thorny question to a different model to compare answers on the same fully-stated context.
Model Switching Mid-Task: Start exploratory work in one assistant and shift to a stronger or cheaper model once the problem is well defined.
Archiving a Session: Copy a finished conversation as Markdown into notes, a wiki, or a project document for a durable record.
Sharing With Teammates: Export a chat as plain text and paste it into Slack or email so a colleague can pick up where you left off.
Feeding Context Into an Editor: Paste a full conversation into a code editor or document to turn a chat into working material.

SmartAppsCo

Paid

A macOS workspace that runs Claude Code, Codex and OpenCode side by side, keeping parallel agent work, automations and secrets under your control.

Multi-CLI Agent Panes: Runs Claude Code, Codex and OpenCode side by side in tiled panes and terminals so several agents can be directed from one window.
Agent Handoff and Coordination: Agents pass scoped work between each other — one builds a command palette while another indexes the workspace — with each handoff visible to you.
Automations with Scheduling: Turns recurring jobs such as bug intake, feedback triage or weekly release notes into repeatable runs that follow the same steps every time.
Secret Management: API tokens and deploy credentials are stored in hob and injected at run time, so no agent or inference provider ever sees them.
Pull Request Workflow: Open, comment on and close pull requests in-app, with the diff, the conversation and the change all in one place, driven by hand or via the hob pr command.
Remote Issue Management: Connects to GitHub and Git hosts so issues can be triaged, filed and closed from the same surface the agents work in.
Local-First Architecture: The workspace and its database live on your own machine, with end-to-end encryption when you reach it from another device.
Durable Session History: Keeps a local record of runs and conversations that outlives the terminal session, so agent work can be reviewed or recovered later.

Supervising Parallel Agents: Direct several coding agents working on different parts of a feature at once without losing track of what each one changed.
Recurring Maintenance Automation: Schedule a weekly release-notes run or a daily user-feedback triage pass that executes identically every time.
Bug Intake Pipelines: Reproduce a reported issue, file it and summarize it as a single automated run triggered on demand.
Reviewing Agent Output Before Merge: Inspect the diff, conversation and resulting pull request together so generated changes get a real review instead of a blind merge.
Working Across Providers: Compare how Claude Code, Codex and OpenCode handle the same task using your existing subscriptions rather than resold tokens.
Remote Development: Leave agents running on a machine at the office and check in securely from another device over an encrypted connection.
Keeping Credentials Out of Prompts: Run agent tasks that need deploy tokens or API keys without ever exposing those secrets to the model.