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AgentSky Review

AgentSky is a managed agent as a service that allows users to launch long-lived, always-on AI agents with one click, without local setup or operations.

shipped Aug 3, 2026agentspaid
agents
AgentSky — product screenshot

Why it matters

1Launches long-lived, always-on AI agents with one click.
2Offers a Basic Plan starting at $3 per month per agent, with parked agents being free.
3Supports various agent harnesses (e.g., Claude Code, Codex) and LLMs (e.g., GPT-5.6 Sol, Opus 4.8).
4Provides omnichannel access across platforms like WhatsApp, Telegram, Slack, and web chat.

About AgentSky

Business Model
Subscription SaaS
Usage Pricing
$3/mo per agent
Free Credits
$3 credit with signup
Platforms
Web, API
Target Audience
Developers and skill creators

Pricing Plans

Basic Plan
$3/mo
  • • Starts at $3/mo per agent
  • • Free for parked agents
  • • No lock-in on harness or model

Cost Examples

  • • 1 agent at $3/mo
  • • Parked agents are free
API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is AgentSky?

AgentSky is an AI agent-as-a-service tool developed by Agent Sky that enables developers, skill creators, and SMBs to launch long-lived, always-on AI agents. It provides a managed sandbox environment for agents to operate continuously, retaining their history and state across multiple communication channels without requiring local setup or operational overhead. The platform supports a range of built-in capabilities, including image generation, video generation, CRM functions, and web scraping, and integrates with over 2,000 applications.

features

Key Features of AgentSky

AgentSky provides a comprehensive set of features designed to simplify the deployment and management of persistent AI agents. These capabilities ensure agents are always available, retain context, and can interact across diverse platforms.

  • One-click launch for long-lived, always-on AI agents.
  • Managed sandbox environment with no local setup or operations required.
  • Support for various agent harnesses (e.g., Claude Code, Codex, Hermes, OpenClaw) and LLMs (e.g., GPT-5.6 Sol, GLM-5.2, Opus 4.8, Gemini 3 Pro, DeepSeek, Z.ai, Kimi K3).
  • Persistent memory and continuous history, including instructions, files, decisions, and conversations.
  • Managed recovery through snapshots and backups for data durability.
  • Omnichannel access across WhatsApp, iMessage, Telegram, Slack, Discord, web chat, A2A protocol, and CLI.
  • Built-in capabilities for image generation, video generation, CRM, email management, social listening, web scraping, file handling, and knowledge management.
  • Developer API and CLI for programmatic agent management and integration into custom applications.

use cases

Who Should Use AgentSky?

AgentSky is designed for a range of users who require persistent, managed AI agents for various applications, from development and evaluation to operational support and product deployment.

  • Developers and Skill Creators: For evaluating agent harnesses and LLMs, building and proving agent skills across different configurations, and integrating agent infrastructure into products via API/CLI.
  • Tinkerers and Hackathon Participants: To quickly launch agent crews for weekend projects and hackathons, leveraging built-in capabilities without infrastructure setup.
  • SMBs and Teams: For creating virtual teammates that remember interactions, perform tasks like email management and web scraping, and integrate with over 2,000 applications.
  • Bluesky Creators: To automate follow-back processes and amplify network reach without compromising authenticity.

how to use

How to Use AgentSky

AgentSky simplifies the deployment of AI agents by offering a one-click launch mechanism and managed infrastructure. Users can get started by signing up and utilizing the platform's interface or API.

  • 1Sign up for an AgentSky account and receive a $3 credit.
  • 2Select an agent harness (e.g., Claude Code, Codex) and a large language model (e.g., GPT-5.6 Sol, Opus 4.8).
  • 3Launch a new agent with a single click; the agent will run in a managed sandbox.
  • 4Interact with the agent across various channels such as web chat, Telegram, or Slack.
  • 5Utilize the AgentSky API or CLI for programmatic control and integration into custom applications.
  • 6Park agents when not in use to avoid incurring monthly subscription fees.

pricing

AgentSky Pricing & Plans

AgentSky operates on a paid subscription model with usage-based fees, offering flexibility for users to manage costs by parking agents. New users receive a credit upon signup.

  • Basic Plan: Agents start at $3 per month each, plus usage fees.
  • Parked Agents: Agents can be parked for free, incurring no monthly cost until reactivated.
  • Signup Credit: New signups receive a $3 credit to get started.

Pros

  • +One-click deployment of long-lived, always-on AI agents.
  • +Managed sandbox environment eliminates local setup and operational overhead.
  • +Agents maintain persistent memory and continuous history across sessions.
  • +Omnichannel access allows agents to be reached across multiple communication platforms.
  • +Flexibility to swap agent harnesses and LLMs without losing agent history.
  • +Includes a developer API and CLI for robust integration into custom applications.

Cons

  • −Requires a paid subscription starting at $3/month per agent, plus usage fees.
  • −Specific details on usage fees are not explicitly provided in the available data.
  • −Reliance on a managed service may limit customization options for advanced users compared to self-hosted solutions.
  • −While 'parked agents are free,' active agents incur ongoing costs.

Policies

Pricing Page

View Pricing→

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AgentSky vs Competitors

AgentSky positions itself as a managed agent-as-a-service, differentiating from both self-managed solutions and developer-centric platforms by offering a complete, ready-to-use environment with integrated channels and persistent state.

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