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AgentSky

Managed cloud service for launching long-lived, always-on agents across any harness, model, and messaging channel.

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Product Overview

What is AgentSky?

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AgentSky is a managed agent-as-a-service platform that removes the infrastructure burden of running production AI agents. Instead of building your own sandboxing, persistence, and channel integrations, users pick a harness — Claude Code, Codex, Hermes, or OpenClaw — choose a model, and launch in one click or a single CLI command. Each agent runs in its own isolated cloud sandbox with durable state, full conversation history, and automatic snapshots, backups, and restore. The same agent instance stays reachable across WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and a developer REST API, so context follows the user rather than the channel. AgentSky is built developer-first: every UI action maps to a CLI command or API call, making it easy to script, automate, or embed into existing products.


Key Features

  • Any Harness, Any Model

    Launch with Claude Code, Codex, Hermes, or OpenClaw and swap the model or harness later without losing the agent's history.

  • Omnichannel Reach

    One agent instance answers on WhatsApp, iMessage, Telegram, Slack, Discord, web chat, and the A2A protocol, all sharing the same session context.

  • Durable Long-Horizon Runtime

    Agents keep an infinitely long continuous history, with automatic snapshots and backups enabling recovery after crashes or restarts.

  • Secure Managed Sandboxes

    Each agent runs in an isolated cloud environment that boots in seconds and exposes only the tools explicitly attached to it.

  • Clone-to-Cloud Migration

    Move a locally running Claude Code, Codex, or OpenClaw agent to AgentSky, preserving instructions, model, and MCP servers while secrets stay on-device.

  • Developer-First Tooling

    A full CLI and REST API mirror every UI action, so agents can be created, messaged, and reconfigured directly from scripts, CI pipelines, or products.


Use Cases

  • Always-On Support Agents : Teams deploy persistent agents that respond to customers on WhatsApp, Telegram, or Slack without operating their own bot infrastructure.
  • Long-Running Coding Agents : Developers offload multi-day Claude Code or Codex tasks to cloud sandboxes that survive restarts and keep full work history.
  • Cross-Channel Customer Engagement : Product teams maintain one continuous agent conversation as users move between web chat, messaging apps, and CLI.
  • Rapid Harness/Model Prototyping : Founders and builders quickly test different harness and model combinations before committing to a production stack.
  • Scalable Agent Fleets : Organizations spin up or park many agents as demand fluctuates, paying only for active usage while idle agents stay free.

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