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

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

Mycel

Freemium

Mycel learns a service firm's work from one past deliverable, then drafts every future one for owner approval before it ships.

One-Deliverable Onboarding: Upload a single past piece of client work and Mycel infers your firm's format, tone, and structure, so it can draft the next one without a lengthy template build.
Approval-Gated Output: Every draft waits for your sign-off before it ships, keeping the human as the last pair of eyes while removing the blank-page work.
Correction Memory: A correction you make once is carried into later drafts, so repeated edits stop recurring month after month.
White-Labelled Client Portal: Clients get their own sign-in on your brand, with credentials kept separate per business rather than shared under Mycel's name.
Recurring Desks: Prebuilt loops for accounts receivable chasing, monthly close packs, pipeline outreach, recruiting longlists, and contract redlines run on a schedule.
Rendered Deliverables: Output is inspected as the real artifact — an actual spreadsheet or document with the exact figures the client receives — not a filename in a queue.
Job-Based Metering: Volume is counted in jobs (one message answered, sync run, or document produced) with model costs included and no overage charge.
Apache-2.0 Self-Hosting: The same code can be run on your own servers with your own model key, free and unmetered, for teams that cannot use a hosted service.

Agency Deliverable Drafting: A consultancy or SEO agency uploads a past client report so Mycel drafts the monthly version for every account, leaving only review.
Bookkeeping Month-End Close: Finance-service firms run the close loop and receive a client-ready pack without an owner rebuilding it each cycle.
Accounts Receivable Chasing: Late invoices are followed up automatically so the principal stops asking clients for money twice.
Recruiting Longlists: Per-search candidate longlists are screened in writing and returned ready for a recruiter to shortlist.
Contract Redlining: Incoming contracts come back marked up and ready for signature rather than waiting for a free afternoon.
Owner Capacity Relief: A founder who is the bottleneck on every draft keeps final judgment but stops being the person who writes the first version.
Private-Cloud Deployment: Teams with security or procurement constraints self-host the Apache-2.0 runtime inside their own infrastructure.

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.