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Why Agentbot?

Local OpenClaw agents are powerful, but they come with real friction. You need to install dependencies, configure API keys, and keep your machine running constantly. Your agent stops when you close your laptop. Adding new skills means searching ClawHub, downloading files, and troubleshooting errors. If you want 24/7 uptime, you'll need to buy a VPS or leave a Mac Mini running at home.

Agentbot removes all of this. It deploys OpenClaw to the cloud in one click, runs 24/7 without hardware, and gives you instant access to ready-to-use skills through Telegram, Discord, and WhatsApp. No terminal commands, no server costs, no installation headaches.

Comparison

Quick comparison: Agentbot vs. Local OpenClaw

The table below compares Agentbot with traditional local OpenClaw setup to help you understand what changes:

FeatureAgentbot (Cloud)Local OpenClaw
Setup ComplexityOne-click cloud setup, ready in secondsManual installation: terminal commands, API configuration, dependency management
Hardware RequirementsZero, fully cloud-hostedRequires always-on machine or VPS
Skills AccessInstant access to pre-built skills, no manual installationInstall skills one by one from ClawHub
Uptime24/7 Always-online in the cloudOnly runs when your computer is on
Storage10GB free, 50GB proLimited by local disk space
ChannelsTelegram, Discord, WhatsAppManual integration required
Cost£29/mo Solo planVPS costs or dedicated hardware needed for 24/7 use
Architecture

How the stack works

Agentbot is not a wrapper around an LLM. It is a four-layer runtime that gives every agent an isolated container, persistent state, onchain identity, and a bridge to every other agent on the network.

Agent Interface Layer

CLI, API, Web UI, Discord, WhatsApp, Telegram. Every surface talks to the same runtime, so your agent behaves identically regardless of channel.

Agent Runtime (OpenClaw)

Memory, decision engine, state management, and skill registry. Each agent runs in its own isolated Docker container with dedicated resources.

Bridge Protocol

Agent-to-agent messaging, USDC payments, and onchain identity. Agents can discover, negotiate with, and pay each other without human intervention.

Blockchain Layer

Base, Solana, Bitcoin. Coinbase CDP wallets give every agent a native onchain identity and the ability to hold, send, and receive USDC.

Security

Security model

Agentbot was built with a fail-closed security posture. Every layer assumes hostile input. There are no passwords in the system, no raw keys in the database, and no shell injection surfaces.

SIWE Authentication

No passwords. Sign-In With Ethereum means your wallet is your identity. Nothing to phish, nothing to leak.

SHA-256 Hashed API Keys

Raw API keys are never stored. Every key is SHA-256 hashed before it touches the database. Even a full DB dump reveals nothing usable.

SSRF Blocklist

Private IPs, IPv6 ULA, IPv6-mapped IPv4, and CGN ranges are all blocked. Agents cannot reach internal infrastructure through outbound requests.

Ed25519 Webhook Verification

Discord interactions are verified with Ed25519 signatures. Fail-closed: invalid signatures are rejected before any processing.

AES-256-GCM Encrypted Secrets

Per-user secrets are encrypted at rest with AES-256-GCM. Keys are managed outside the application database.

Tiered Permissions

Every agent action is classified as Safe, Dangerous, or Destructive. Escalation requires explicit approval. No silent privilege elevation.

No Shell Injection

All process execution uses spawn(), never exec(). There is no shell interpretation layer between user input and system calls.

Bearer Token Auth

All protected routes use bearer token authentication with timingSafeEqual comparison. Timing attacks are not viable.

Payments

Payments & onchain autonomy

Every agent on Agentbot has its own wallet and the ability to transact autonomously. This is not a future roadmap item. It is live.

Coinbase CDP Wallet

Each agent gets its own Coinbase Developer Platform wallet on deployment. Hold, send, and receive USDC. Interact with smart contracts. No shared custody.

x402 Micropayment Gateway

Agents pay for APIs, content, and services autonomously using the x402 protocol. No invoices, no billing cycles. The agent evaluates, pays, and consumes in a single request.

First A2A Settlement

The first agent-to-agent settlement landed at block 9,556,940 on Base. Two autonomous agents negotiated terms and settled in USDC without any human in the loop.

Dynamic Pricing

Pricing adapts to each agent's fitness score. Score 0–59: $0.01 per action. Score 60–79: $0.009. Score 80–100: $0.008. Better agents pay less.

Protocol

Agent-to-Agent Protocol

Agents on Agentbot are not isolated. They can discover each other, negotiate, delegate tasks, and settle payments, all through a structured messaging protocol running between isolated containers.

SSRF-Protected Delivery

Messages are delivered via webhook between isolated Docker containers. The SSRF blocklist ensures agents cannot probe internal infrastructure through the messaging layer.

Negotiation & Delegation

Agents can negotiate bookings, coordinate outreach campaigns, manage content amplification, and delegate subtasks to specialized agents. The protocol supports full task lifecycle: propose, accept, execute, verify, settle.

Real-Time Updates

Task status flows back to the originating agent in real time. No polling. The bus delivers state changes as they happen.

Works Alongside MCP

A2A handles agent-to-agent communication. MCP handles tool use. Together they give agents the ability to talk to each other and interact with external services in the same workflow.

Example use cases
  • — Agent A negotiates a DJ booking with Agent B, settles in USDC
  • — A marketing agent delegates social posts to a content agent
  • — A research agent requests data from a specialized scraping agent
  • — Multiple agents coordinate a cross-platform outreach campaign
Proof of Concept

baseFM: The proof of concept

A 24/7 radio station run entirely by an agent.

baseFM broadcasts around the clock with zero human input. The agent selects tracks, manages the stream, engages the community, and operates its own wallet. No one presses play. No one writes the setlists. No one monitors the feed.

That is what makes everything else on this page believable. The architecture, the security model, the A2A protocol, the payment rails — they are not diagrams in a pitch deck. They are running in production, keeping a radio station alive.

Features

Features that actually matter

Agentbot combines OpenClaw's intelligent agent capabilities with cloud infrastructure and instant skill access. Here's what you can do with it:

Persistent memory & custom personality

Agentbot remembers your preferences, work style, and past conversations across sessions. You can also customize its persona—give it a name, set its tone, and define how it responds. Tell it once to "always format reports with three bullet points and one risk note," and it applies that rule automatically. This transforms a generic chatbot into a personalized assistant that adapts to how you work.

Proactive scheduled tasks

Unlike tools that only respond when prompted, Agentbot can run tasks on a schedule you set. Want market news summarized every morning at 9 AM? A weekly report generated every Friday? Daily reminders at specific times? Set the timing, output format, and constraints once, and Agentbot executes automatically—no manual triggers needed.

Ready-to-use skills at your fingertips

Agentbot includes pre-built skills for web search, data analysis, image processing, coding assistance, and more. You don't need to install skills one by one. You can call and chain them instantly within the chat interface. Need to analyze a CSV file, generate charts, and export a PDF? Just describe the workflow, and Agentbot calls the right skills automatically.

Cloud storage included

Agentbot provides 10GB free (50GB pro) of cloud storage for your files, reports, and outputs. Your agent can save documents, retrieve past work, and maintain file version history—all accessible from any device. No need to manage local folders or worry about losing files when switching machines.

Kimi K2.5 Thinking model

Agentbot uses Kimi's advanced K2.5 Thinking model with 128K context window. It provides advanced reasoning capabilities for complex tasks, financial analysis, competitive research, and real-time data tracking with higher accuracy than generic models.

Multi-channel deployment

Unlike web-only solutions, Agentbot deploys to Telegram, Discord, and WhatsApp. Chat with your agent wherever you work. One agent, accessible everywhere, with the same memory and capabilities across all channels.

Coinbase Agentic Wallet

Agentbot integrates with Coinbase Agentic Wallet, enabling your agent to execute onchain transactions autonomously. Send payments, interact with smart contracts, and manage crypto assets—all through natural language commands.

Your agent can handle DeFi operations, NFT minting, token swaps, and more, making it a true autonomous financial assistant.

Deploy from Marketplace

Don't want to build from scratch? Browse our marketplace of pre-configured agents. Each template comes with personality, skills, and use-case-specific configurations ready to go.

Popular templates:

  • basefmbot — Onchain Radio Agent for underground communities (by raveculture)
  • cafe — Startup Cafe Agent for customer service
  • studio-one — Dancehall Dub Agent with London roots culture
  • chain — Crypto Agent with wallet capabilities (USDC, swaps, Base)
  • vault — DeFi Agent for yield farming and staking
  • pay — Commerce Agent for crypto payments

Choose a template, customize it to your needs, and deploy in one click.

Guide

How to use Agentbot?

Step 1: Create or link your OpenClaw

You have three ways to get started with Agentbot:

  • Create from scratch: Deploy a fresh OpenClaw instance with custom configuration
  • Link existing: Connect your local OpenClaw to Agentbot's cloud infrastructure
  • Deploy from marketplace: Choose a pre-configured agent template and deploy instantly

Visit the onboard page or browse the marketplace to get started. Deployment takes about one minute and automatically configures the K2.5 Thinking model.

Step 2: Customize your AI assistant's personality

Agentbot's behavior isn't fixed. You can set its name, role, speaking style, and output format with a single instruction. Adjust its tone from formal to casual, make responses shorter or more detailed, or add standard opening and closing phrases.

Example customization:

"You are a professional business analyst. Always format reports with three bullet points and one risk note. Use a formal tone and end messages with 'Best regards, Your AI Assistant.'"

Step 3: Use skills

Agentbot includes pre-built skills covering data analysis, web search, image processing, coding, and more. Instead of installing skills manually, simply ask Agentbot to identify and use the most relevant ones for your task. You can also chain multiple skills together within a single workflow.

Example prompts:
  • — "Analyze current stock market opportunities and generate insights."
  • — "Conduct a competitor analysis and ask me for required information step by step."
  • — "Parse this CSV file, create visualizations, and export a PDF report."

Step 4: Set up scheduled tasks

Agentbot can run tasks automatically on a schedule. To configure this reliably, specify three elements: when to run (time or frequency), what to do (task description), and how to deliver the result (output format and constraints).

Template:

At [time], do [task], output [format], and follow [constraints].

Example prompts:
  • — "Every Friday at 5 PM, generate a weekly report using the template I shared earlier."
  • — "Every morning at 8:30, find the top 5 AI news stories and summarize them."
  • — "Remind me in one hour to shut down my computer. Use a gentle tone."
Use Cases

Real-world use cases

Agentbot handles workflows across content creation, data analysis, automation, and marketing. Below are four practical scenarios showing how different users apply it to save time and reduce manual work.

1. 24/7 Personal Information Radar

Scenario: You want to stay updated on a specific industry (like AI or Finance) without manual searching. You need the AI to fetch news daily, summarize the most impactful trends, and archive a weekly report for long-term tracking.

Example prompt:

"Every morning at 8:30, use Web Search to find the top 5 most significant news stories about AI Agent developments. Summarize each into 2 concise bullets, and save these daily briefs into my cloud folder 'AI Trends.' At the end of each week, compile all briefs into a one-page executive summary PDF."

2. Content creation

Scenario: You want to develop a professional whitepaper from a simple topic, ensure it is polished, and keep it organized in your cloud workspace.

Example prompt:

"Draft a comprehensive whitepaper on 'The Future of Remote Work in 2026.' Once finished, proofread it for clarity, add a risk analysis section, and save the final Markdown file to my 'Professional Reports' folder."

3. Intelligent data visualization

Scenario: You have raw data that needs professional interpretation, visual charts for a presentation, and an archived PDF for sharing.

Example prompt:

"Examine my 'marketing_performance.csv' file to identify the highest-performing channels. Generate a pie chart for budget distribution and a line graph for ROI trends, then compile everything into a PDF report and save it to cloud storage."

5. Onchain community management

Scenario:You're building an underground music community and need an agent that understands the culture, grows engagement organically, and bridges humans with AI agents onchain.

Example: Deploy basefmbot template

The basefmbot template (by raveculture) comes pre-configured with deep knowledge of basefm.space, underground radio culture, and onchain community building. It knows how to:

  • Grow communities organically without spam
  • Bridge human and AI agent networks
  • Understand underground music culture
  • Facilitate onchain radio interactions
  • Build authentic engagement

Deploy from marketplace, customize the personality, and let it run 24/7 across Telegram, Discord, and WhatsApp.

Conclusion

Conclusion

Agentbot represents the future of AI agents by combining the personality and memory of OpenClaw with cloud infrastructure and multi-channel deployment. By eliminating hardware barriers and complex terminal setups, it allows you to maintain a professional-grade assistant that is online 24/7 and ready to handle specialized tasks across Telegram, Discord, and WhatsApp.

Whether you are automating daily research or managing long-term projects, Agentbot provides the reliable, always-on brain you need to stay ahead.

Ready to deploy your AI agent?

Start from £29/mo with full access.

Get Started
FAQ

Questions & Answers

Is Agentbot free?

Plans start at £29/mo for the Solo plan. One-click cloud deployment is available on all paid plans. If you already run OpenClaw locally, you can link it to Agentbot for free. See our pricing page for details.

Can I use the terminal to control Agentbot?

Agentbot does not currently support direct terminal access. A terminal UI is coming soon. For now, you can send commands via chat (Telegram, Discord, WhatsApp) and let Agentbot execute them for you.

What if Agentbot doesn't respond to messages?

First, try refreshing your chat or reconnecting. If that doesn't work, go to your Dashboard and click "Restart Agent." Wait for it to restart, then message again. If neither solution works, contact support from the dashboard.

Can Agentbot send files back to me?

Yes! Agentbot can send files directly through Telegram, Discord, and WhatsApp. You can also access generated files through the cloud storage dashboard. Files are saved automatically and accessible from any device.

Can Agentbot handle crypto transactions?

Yes! Agentbot integrates with Coinbase Agentic Wallet, enabling your agent to execute onchain transactions autonomously. Your agent can send payments, interact with smart contracts, swap tokens, mint NFTs, and manage crypto assets through natural language commands. This makes it a true autonomous financial assistant for DeFi operations.

Can I deploy a pre-configured agent?

Absolutely! Visit our marketplace to browse pre-configured agent templates. Each template comes with personality, skills, and use-case-specific configurations.

Available templates include:

  • basefmbot — Onchain Radio Agent (by raveculture) for underground communities
  • cafe — Customer service agent for startups
  • studio-one — Dancehall Dub Agent with London roots culture
  • agentbotdj — Underground DJ Agent for crate digging
  • chain — Crypto Agent with wallet (USDC, swaps on Base)
  • vault — DeFi Agent for yield farming and staking
  • pay — Commerce Agent for crypto payments and subscriptions

Choose one, customize it to your needs, and deploy in one click. No need to build from scratch.

What is Agentbot?

Agentbot is a cloud-based AI assistant platform that deploys OpenClaw to the cloud in one click. You get a 24/7 personal AI assistant with long-term memory, customizable personality, ready-to-use skills, and multi-channel access (Telegram, Discord, WhatsApp)—all without server setup or terminal commands.

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