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

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

chat-recall logo

chat-recall

chat-recall

Freemium

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

Key features

  • 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.

Best for

  • 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.
View chat-recall details
Type logo

Type

Type

Paid

Shared team workspace where colleagues collaborate with Claude and Codex using the AI subscriptions they already pay for.

Key features

  • Shared Spaces: Team-level workspaces where threads, docs, and apps live together, so AI work from individual conversations compounds instead of disappearing.
  • Bring Your Own Subscriptions: Connect the Claude and Codex plans the team already pays for rather than buying a separate seat-based AI plan.
  • Self-Learning Memory: Context, memory, and skills accumulate in a shared company brain that keeps improving as the team works.
  • Shared Integrations: Securely share access to connected tools across a Space so teammates can act on the same systems without duplicating credentials.
  • Works Where You Communicate: Tag Type from Slack, email, or a meeting and have the work sync back to the dedicated desktop and mobile apps.
  • Always-On Automations: Unlimited skills and automations run 24/7 on shared cloud computers, so repeatable work continues outside active sessions.
  • Usage Controls and Permissions: Administrative controls over credits, access, and permissions across team members and Spaces.

Best for

  • Marketing Campaign Production: A growth team drafts a monthly product announcement email in a shared thread, pulling in past sends and recent releases.
  • Creative Asset Review: A brand team asks an agent for on-brand image directions inside a Slack channel and keeps the resulting thread in a shared Space.
  • Engineering Collaboration: Developers share Codex conversations so teammates can pick up context on a change instead of restarting from scratch.
  • Institutional Knowledge Capture: Turn one-off AI conversations into a durable, searchable team memory rather than private chat history.
  • Recurring Workflow Automation: Set up repeatable skills and automations that run on a schedule against the team's connected tools.
View Type details