Axari vs Proto-Mind: Features, Pricing & Which Is Better (2026)

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

Axari

Paid

An AI workforce for cybersecurity teams — an "AI twin" that triages alerts, chases owners and collects compliance evidence 24/7.

Critical Exposure Protection: Pulls finding and asset context, creates and assigns the ticket, then re-checks the scanner so an exposure is only closed once it is actually gone.
Continuous Compliance: Collects access evidence, maps it to controls and chases owners who have not responded, keeping evidence current outside of audit week.
Vendor Onboarding and Risk Review: Requests missing vendor documents, scores the vendor against internal policy and routes the decision to the risk owner with approvals attached.
Security Questionnaire Acceleration: Drafts answers from a team's approved response library and current policy language, flagging only the items that need human judgement.
Access Assurance: Enumerates every account and entitlement, nudges reviewers against a cutoff, then revokes and verifies removal rather than just requesting it.
Threat Response Assurance: Groups overnight alerts, enriches them with endpoint telemetry and opens assigned investigations so nothing sits in a queue.
Earned Access and Audit Trail: Every action requires human approval and is logged end to end, with zero data retention and customer knowledge staying with the customer.
Tool-Agnostic Integration: Works on top of a team's existing security stack instead of replacing it, mapping each tool's role during the first day of onboarding.

Alert Triage Coverage: Extending a small SOC to 24/7 by having the twin group, enrich and open overnight investigations before the team logs on.
Audit Readiness: Keeping SOC 2 or ISO evidence continuously collected and mapped to controls instead of scrambling during audit week.
Vulnerability Remediation Follow-Through: Driving findings to a verified fix by chasing the owning service team and confirming the scanner is clear.
User Access Reviews: Running periodic entitlement reviews end to end, including reviewer nudges and verified revocation.
Security Deal Support: Turning around customer security questionnaires quickly so enterprise deals are not blocked on review cycles.
Third-Party Risk Management: Onboarding new vendors with policy-scored documentation and a documented risk decision.
Incident Coordination: Keeping containment steps, session revocation and legal or leadership updates on a single coordinated timeline.

VIRENCORE

Free

A native macOS floating workspace that keeps AI conversations, project memory, files and live voice together on your Mac.

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.

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.