Janitor AI vs Proto-Mind: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Janitor AI and Proto-Mind — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Janitor AI
Janitor AI / JanitorAI.com
Web-based platform for scripted, character-driven roleplay chats powered by large language model backends.
Key features
- Script-Based Roleplay: Enables creation and execution of scripted character roleplays with custom prompts, behaviors, and branching conversation logic to shape character responses.
- Character Hosting and Sharing: Hosts user-created character pages and dialogues so other users can discover, load, and interact with predefined characters.
- OpenAI/API Backend Integration: Uses external LLM backends (e.g., ChatGPT/OpenAI API) for generation, requiring API connectivity and subject to provider rate limits and account restrictions.
- Low-Moderation Environment: Operates with minimal content moderation, allowing broad creative expression and experimental content but increasing content-safety risks.
- Web Chat Interface: Provides a browser-based chat UI optimized for interactive roleplay with characters and scripted scenarios.
- Third-Party Extensibility: Strong community ecosystem including scrapers, proxies, and integrations to export characters, automate interactions, or route traffic around regional or rate limits.
- Web-hosted conversational character pages with chat UI
- Script-based roleplaying support for defining character behavior and responses
- Minimal built-in moderation (user-generated content may be unrestricted)
- Commonly accessed via HTTP scraping or reverse-engineered endpoints
- Works with proxy layers to mitigate region locks, bans, or rate limits
- Often integrated into developer workflows using Dockerized scrapers and npm frontends
- Can be combined with external LLMs/APIs (e.g., OpenAI) via intermediary tooling, though no official public API is documented
Best for
- Interactive Storytelling: Run multi-turn, character-driven narratives where authors script personalities and responses to create immersive roleplay sessions.
- Character Prompt Development: Design and iterate on character prompts and behaviors to tune personality, tone, and response patterns for entertainment or testing.
- Content Extraction and Backup: Use community scrapers to export character definitions and conversation scripts for local analysis or preservation.
- Bypassing Regional/Rate Limits: Employ third-party proxies or IP-rotation tools to maintain access and performance when facing regional blocks or API rate limits.
- Rapid Prototyping of Conversational Agents: Prototype persona-driven chatbots by composing scripted characters and testing interactions in a live web interface.
- Community Sharing and Discovery: Share notable characters publicly so others can load, rate, and continue conversations for collaborative roleplay.
- Interactive roleplay and character chat for end users
- Extraction/scraping of character scripts for use with local or hosted LLMs
- Testing and evaluation of conversational agents and personas
- Feeding character personas into LLM pipelines or fine-tuning datasets
- Developer automation where proxies and IP rotation are used to scale interactions
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.