chat-recall vs qarunbook: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of chat-recall and qarunbook — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
chat-recall
chat-recall
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.
qarunbook
qarunbook
qarunbook is an app testing runbook where AI drafts a test plan from your code and your team or AI works through it, tracking issues and retests.
Key features
- AI-Drafted Test Plans: The /test-checklist skill looks through your app and drafts checks with steps and expected results already filled in.
- MCP Connection: Connect Claude Code, Claude Desktop, Codex, Cursor or any MCP client so the assistant can read the plan and record results.
- Issue-to-Check Linking: Every issue sits on the check that found it with the affected platforms, and raising one removes the pass.
- Retest Flow: When an issue is fixed the check waits for someone to look again before being marked passed.
- Roles and Join Links: Give people access to only the projects they need and invite whole groups with a join link.
- Multi-App Workspaces: Keep each app's sections and platforms separate so web, driver and marketing sites are tested side by side.
- GitHub and Linear Integration: Connect issue trackers so problems found in testing flow into existing engineering workflows.
- QA Runbook Skill: The /qa-runbook skill works through the plan on web and mobile, recording each result and re-checking fixes.
Best for
- Release Testing: Run a structured test plan before each release across web, Android and iOS.
- AI-Assisted QA: Let a coding assistant execute checks and record pass/fail results through MCP.
- Team Test Coordination: Split test checklists among teammates and see progress and results in one workspace.
- Regression Follow-up: Track bugs against specific checks and retest them after fixes ship.
- Solo Developer Testing: Generate a test plan from the codebase so a one-person team knows what to check.
- Agency Multi-Client QA: Manage separate apps and clients with scoped access and a flat workspace price.