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

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

Proto-Mind

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.

Freemium

Managed AI agent Teams with responsibilities, a number, and commitments — earn autonomy rule by rule, with receipts and playbooks.

Managed Agent Teams: Each Team owns a real part of the business with written Responsibilities, one Number it is measured on, and time-bound Commitments.
Playbook Learning: Human edits to drafts are captured as Playbook rules, so the Team's method improves and the next draft needs fewer corrections.
Training → Supervised → Autonomous Ladder: Agents earn authority rule by rule based on their track record, with per-Playbook rules bounded and logged.
Decision Queue with Receipts: Consequential calls are staged as Decisions with confidence scores; routine work runs on its own and leaves a Receipt pulled from Stripe, Gmail, Calendar, and other sources.
The Front Shared View: A single dashboard shows where the business stands right now, so humans and Teams operate from the same live picture.
Plays for Multi-Step Work: For bigger swings, a Team proposes a Play with goal, steps, budget, and deadline that runs over days once approved, still leaving Receipts at every step.
Stack-Native Integrations: Connects to Slack, Gmail, HubSpot, Stripe, GitHub, Notion, Linear, and Calendar and ships approved work back into those systems.
YAGNI Code for Engineering Teams: When work is code, Teams open pull requests with tests green and await review just like a human contributor.

Sales Pipeline Ownership: A Sales Team sources leads, books ICP-qualifying meetings, and keeps the CRM current under a monthly qualified-meetings Number.
Support Operations: A Support Team triages tickets, drafts replies, and stages refund Decisions for reversible-vs-consequential judgment calls.
Customer Success and Renewals: A CS Team drafts renewal replies, tracks at-risk accounts, and files pipeline updates for leadership.
Revenue Ops and Reporting: A Revenue Team files structured updates on pipeline movement and payments, tying results back to Stripe receipts.
Engineering Toil: A Code Team opens PRs for well-scoped fixes, with tests green and human review before merge.
Operations Backlog: An Ops Team handles routine, reversible work (scheduling, follow-ups, data hygiene) autonomously once its Playbook is trusted.