Proto-Mind vs Querri 2.0: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Proto-Mind and Querri 2.0 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Proto-Mind
VIRENCORE
A native macOS floating workspace that keeps AI conversations, project memory, files and live voice together on your Mac.
Key features
- Floating Cube Workspace: Hover the cube to reveal the workspace and click to pin it, or move away to hide it while tasks keep running in the background.
- Per-Conversation Model Routing: Each chat picks its own model and account — ChatGPT with Codex access, supported model APIs, or a local Ollama model.
- Editable Project Memory: Notes, decisions and preferences stay attached to a project and carry into later conversations, and you can review, change or remove any of them.
- Live Voice Control: Speak to open a project, steer a running task or send new work, and add a correction while the task is still going.
- Detachable Companion Windows: Pull out and resize a browser, a file or a second conversation so reference material sits beside the work.
- Explicit Mac Access: Codex can work with files and run commands only after you turn Mac access on; screen control additionally requires Codex Desktop's signed Computer Use helper.
- Local Data Storage: Conversation history and saved memory live on your Mac, and cloud processing happens only when you choose a cloud model or voice.
- Open Source Beta: The macOS installer and the Apache 2.0 source are both published, so the workspace can be inspected and built from source.
Best for
- Long-Running Project Work: Keep a website or client project's decisions in project memory so each session resumes instead of re-explaining the brief.
- Brief to Deliverable: Have the agent read a client brief and save a proposal document, then open it in a companion window next to the conversation.
- Parallel Task Execution: Start several tasks across different models at once and check back on them without blocking the conversation you are in.
- Hands-Free Steering: Dictate a correction or open a project by voice while your hands are busy elsewhere on the Mac.
- Privacy-Sensitive Drafting: Run a local Ollama model so conversation content never leaves the machine.
- Model Comparison: Put the same question to a Codex route and a local model in adjacent windows to compare the answers side by side.
Querri 2.0
Querri
A conversational AI data analyst that cleans datasets and delivers instant charts, tables, and insights in plain English.
Key features
- Data Cleaning & Preprocessing: Automatically detects and fixes common data issues (missing values, inconsistent types and formats) so datasets are ready for analysis without manual cleaning.
- Natural-Language Chat Interface: Supports conversational queries in plain English, interpreting user questions and converting them into appropriate analyses and results.
- Automatic Visualizations: Generates clear charts, graphs, and tables matched to the query, allowing users to immediately see trends and summaries.
- Drill-Down Recommendations: Recommends places to explore further and suggests follow-up slices or queries to deepen insights.
- Non-Technical UX & Guided Workflows: Designed for business users with guided prompts, templates, and an easy-to-use interface that reduces reliance on analysts.
- Resources & Learning Center: Includes guides, tutorials, and documentation to help users learn analytics workflows and get the most from the platform.
- Natural language chat interface for querying data
- Automatic data cleaning and preparation
- Instant generation of charts, graphs, and tables
- Suggested drill-downs and next-step analyses
- Resources and documentation for learning and onboarding
- Designed for non-technical users and team workflows
Best for
- Ad-hoc Business Questions: Non-technical managers ask sales or marketing questions in plain language and receive charts and explanations instantly for meetings or reports.
- Data Cleaning Prior to Analysis: Clean messy CSV exports from multiple sources quickly so teams can move directly to insight generation.
- Exploratory Analysis: Analysts and product managers use the chat interface to discover trends, outliers, and segments and then drill down into promising areas.
- Report & Dashboard Preparation: Generate visualizations and summary tables that can be exported or copied into presentations and reports.
- Onboarding & Training: New team members use the learning center and conversational interface to understand company data and common metrics without deep SQL skills.
- Iterative Investigation: Business users follow Querri's suggested drill-downs to perform iterative investigations without needing a BI engineer for each question.
- Non-technical business users asking ad-hoc questions of company data
- Teams exploring datasets and generating visual reports quickly
- Rapid data cleaning and preparation for analysis
- Producing charts and tables for presentations or dashboards
- Guided analysis and discovery via suggested drill-downs