🆓 Free
- Up to 500 free LLM runs in your first 7 days. No credit card required.
prompt2botAll paid plans are billed monthly via recurring subscription.
Prices are in USD. You can cancel anytime from your Settings page.
By subscribing you agree to our Terms of Service and Refund Policy.
Local-first frameworks like OpenClaw and Hermes are great for solo experiments in a terminal. Here is how prompt2bot is architected for secure, multi-user production.
| Capability / Architecture | prompt2botProduction Ready | OpenClaw | Hermes Agent |
|---|---|---|---|
Multi-User Data Isolation Architecture & Multi-Tenancy | Structural isolation (`isolateUsers = true`) Per-conversation memory isolation enforced at the schema level. Zero risk of client data or file leaks. | Shared workspace directory Single gateway auth token and shared workspace. Files from one user session can leak to another. | Global `USER.md` memory file Stores preferences in one global file injected into every conversation, causing cross-user contamination. |
Idle Cost & Scaling Cost & Compute | Zero idle cost (serverless edge) Stateless edge run loop executes only on incoming events. Create unlimited free agents without paying for idle VMs. | Heavy persistent processes Requires dedicated persistent containers or VPS per bot, paying 24/7 server bills even when idle. | Tied to host runtime Designed for single-machine local execution or dedicated server instances. |
Code Execution & Secret Egress Security & Sandboxing | Safescript + On-Demand VMs Domain-level firewall for credentials (e.g. Stripe keys only go to Stripe) + ephemeral VMs that auto-destruct. | Direct root shell access Agent has raw host shell access without outbound network firewalling, vulnerable to malicious supply-chain scripts. | Unrestricted local terminal Executes scripts directly on local operating system with full access to local filesystem and environment. |
Human-in-the-Loop Approvals Safety & Governance | Secure Admin Approvals When talking to third parties, sensitive tool execution pauses and requests 1-tap owner approval via WhatsApp/chat. | No multi-tenant authorization Any interacting user can trigger full agent tool capabilities unless custom middleware is written. | No external verification gate Lacks role-based permission verification when interacting across untrusted external contacts. |
Chat-Native Multi-Channel Messaging & Channels | Native WhatsApp, Telegram, E2EE, Email Built-in WhatsApp (Official + Supergreen), Telegram, Alice & Bot (E2EE), AgentMail, quote replies, and emoji reactions. | Webchat & terminal first Requires complex self-hosted bridge architecture and manual webhook configuration for messaging apps. | CLI / terminal wrappers Primarily local CLI oriented with basic community chat adapters. |
Time to Production Deployment & UX | < 1 minute setup (AI Builder) Conversational AI builder creates prompt, tools, and channel connections automatically. 1-click Talk-to-Skill launcher. | Manual orchestration Requires terminal setup, Docker image building, gateway token management, and infrastructure maintenance. | Local developer setup Requires Python environment setup, local API key configuration, and manual tool wiring. |
Per-conversation memory isolation enforced at the schema level. Zero risk of client data or file leaks.
Stateless edge run loop executes only on incoming events. Create unlimited free agents without paying for idle VMs.
Domain-level firewall for credentials (e.g. Stripe keys only go to Stripe) + ephemeral VMs that auto-destruct.
When talking to third parties, sensitive tool execution pauses and requests 1-tap owner approval via WhatsApp/chat.
Built-in WhatsApp (Official + Supergreen), Telegram, Alice & Bot (E2EE), AgentMail, quote replies, and emoji reactions.
Conversational AI builder creates prompt, tools, and channel connections automatically. 1-click Talk-to-Skill launcher.
Up to 500 free LLM runs in your first 7 days. No credit card required.
Phone verification helps prevent repeated free-account signups. The higher allowance requires verification with a WhatsApp PIN. You can try an agent on the web without connecting WhatsApp.
An LLM run is one AI model call. One message or task can use multiple runs.
Recurring scheduled actions require a paid plan.
Image generation costs 20 LLM runs per image because it is more computationally expensive to serve. This applies across all plans.
Paid plans are billed monthly via a recurring subscription. Your card is charged automatically on the same date each month. You can cancel at any time from your Settings page.
Yes. You can change your plan at any time. When upgrading, the new rate applies immediately. When downgrading, the change takes effect at the start of your next billing cycle.
You retain access to your current plan's features until the end of the billing period. After that, your account reverts to the Free plan.
Yes — we offer a 14-day refund policy. See our Refund Policy page for full details.