MoClaw

MoClaw is a cloud-based personal AI assistant that focuses on actually completing tasks rather than just answering questions. Instead of a stateless chatbot, it deploys long-running AI agents that automate research, repetitive workflows, and day-to-day management using plain English instructions. Designed for individuals and small teams, MoClaw connects to external tools, follows schedules, and delivers concrete outputs—reports, alerts, summaries—without requiring manual scripting or deployments. The service runs on its own persistent cloud environment, acting as an always-on "digital coworker" that keeps working even when you’re offline.

• Autonomous AI Employee: Automates lead generation, market research, competitor monitoring, and reporting so you can offload repetitive knowledge work and keep human focus on strategy.
• Personal Memory and Life Management: Stores your personal context across sessions to help manage schedules, track health metrics, and maintain relationships, functioning as a persistent assistant rather than a stateless chatbot.
• Amazon Price Tracking Engine: Monitors Amazon and competitor pricing, sends daily reports and alerts, and surfaces price trends without any coding or custom scrapers.
• Persistent Cloud Agents: Provides a dedicated cloud environment for each user’s agents, including persistent memory, background scheduling, multi-channel messaging (web, Telegram, Slack), and sandboxed execution for scripts and automations.
• Bring Your Own Key (BYOK): Separates infrastructure from model costs by letting users plug in their own API keys for LLM providers (OpenAI, Anthropic, Google, etc.), avoiding token markups and giving clearer visibility into AI spend.
• No-Code Interaction Model: Workflows are created by describing tasks in natural language; no need to wire up complex automations or write scripts.
• Multi-Channel Delivery: Agents can send results and notifications through the web app, Telegram, and Slack, ensuring outputs reach you where you work.

1. Sign up and subscribe: Create an account on moclaw.ai and choose the Core Plan or start a trial if available. You’ll get a dedicated cloud computer and initial credits.
2. Describe your first agent: In the web interface, tell MoClaw what you need in plain English—for example, “Monitor my Amazon competitors daily at 8 AM and email a price change report.” The system handles setup.
3. Connect tools and keys (optional): For enhanced AI capability, plug in your own API keys from OpenAI, Anthropic, or other supported LLM providers via the BYOK setting. This avoids credit usage for model calls.
4. Set schedules and delivery channels: Choose whether agents run continuously, on a fixed schedule, or on specific triggers. Define where outputs go: web dashboard, Telegram, Slack, or email.
5. Review and refine outputs: Check generated reports, alerts, or summaries. Adjust instructions or prompts as needed to improve accuracy and relevance.
6. Scale with credit packs or additional agents: If you consume more credits than the monthly allocation, buy credit packs. You can run multiple agents for different projects, each with its own memory and schedule.

MoClaw operates on a subscription model with optional credit add-ons. The Core Plan typically costs $20 per month and includes a dedicated cloud computer (4 vCPU, 4 GB RAM launch bonus), persistent storage, visual desktop access, 1,000 monthly credits, Claude built-in, BYOK support, 50+ built-in skills, browser control, and chat via web, Telegram, and Slack. Users can purchase additional Credit Packs at $10 per 1,000 credits, in $10, $50, $100, or $200 increments. The BYOK feature is included in the Core Plan, allowing users to bring their own LLM API keys and avoid credit charges for model usage; those costs are billed directly by the provider. For the most accurate and current pricing, check the official MoClaw website, as details may change.

• Web Application: Full-featured browser interface for setting up agents, monitoring outputs, and managing credits and API keys.
• Messaging Integrations: Agents can deliver results and accept simple commands via Telegram and Slack, making outputs accessible on mobile and desktop without logging in.
• API Access (limited): While primarily a no-code agent platform, the backend supports scheduled and event-driven actions, but a public API for external triggering is still emerging.
• Cloud Desktop Environment: Each user receives a virtual desktop with persistent storage and sandboxed execution, accessible visually for working with scripts or browser-based automations.

• Start with small, well-scoped tasks: Before building complex workflows, test with a simple recurring report (e.g., daily weather summary) to understand how agent persistence and scheduling work.
• Craft explicit natural language instructions: Be specific about what data you want, format requirements, and output channels. Agents respond to clarity just like a human assistant.
• Leverage BYOK for high-volume usage: If you expect heavy LLM usage, bring your own API keys to separate infrastructure cost from AI consumption and avoid credit overages.
• Use persistent memory intentionally: Store key context—such as your goals, meeting schedules, or health metrics—so agents can proactively remind and help without repeated prompting.
• Combine personal and business agents: Run a work-focused agent for market research and a separate personal agent for calendar and habit tracking; both coexist in your MoClaw environment.
• Monitor credit consumption in early days: Familiarize yourself with how many credits typical tasks use before scaling to avoid unexpected top-up needs.

• Founders and solo entrepreneurs: Individuals who need to automate lead research, competitive intelligence, and deal tracking without hiring additional staff.
• Small sales and marketing teams: Groups that want to offload repetitive data gathering and report generation so members can focus on closing and strategy.
• E-commerce sellers and Amazon vendors: Users who rely on daily price monitoring and need automated alerts to stay competitive without manual checks.
• Consultants and knowledge workers: Professionals handling recurring research or weekly client briefings who benefit from a persistent agent that remembers past analyses.
• Productivity enthusiasts: People who seek a unified AI assistant that integrates work automation with personal life management (health, routines, relationships).
• Non-technical operators: Those who prefer describing workflows in plain English rather than building integrations with code, but still want powerful agentic behavior.