chat-recall vs ChatHop: Features, Pricing & Which Is Better (2026)

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

chat-recall

Freemium

Makes every conversation your team has had with AI coding assistants searchable, and flags secrets leaked into those chats.

Unified Conversation Search: Full-text search across the chats, plans, task lists and notes written by five supported AI coding tools, searchable the moment they arrive.
Local Secret Redaction: Passwords and API keys are stripped on your own computer before anything is uploaded; only the last few characters are ever received.
Leaked Key Reporting: Shows every key found, whether it is still live, and how many conversations it appeared in, with support for custom in-house key formats you register.
MCP Server and Recall Tools: Exposes the history to your assistants through an MCP server so they can query past work directly rather than starting cold.
Ranked Action Plan: Derives code findings and a prioritized list of what to fix next, written out as CODE_TASKS.md.
Self-Closing Bug Tasks: Each detected bug becomes a task with a sketched fix, and closes itself once the problem is actually gone.
Config Distribution: Skills and MCP configuration follow you to every machine and to whichever assistant you pick up next, with a per-machine view of what is missing.
Per-Project Rules: Mark a project as a prototype or a live product once, and every assistant that opens it plays by the matching rules.

Credential Incident Response: Find which keys were pasted into assistant conversations, whether they are still valid, and where they spread.
Recovering Past Decisions: Search months of AI conversations to recover a plan or rationale instead of asking the same question again.
Onboarding a New Machine: Sign in on a new laptop and get the full conversation history and every accumulated skill without copying files by hand.
Switching Assistants: Try a different AI coding tool without losing the add-ons and context built up in the previous one.
Team Knowledge Sharing: Share project history selectively with teammates and assign follow-up work from a shared task board.
Security Review Before Shipping: Run the secret monitor and code findings over accumulated history as a pre-release check.

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.