One-click launch with API and CLI control
Launch a long-lived agent in one step from the UI, or use the CLI and REST API to create agents, send messages, stream replies, and swap models programmatically.
AgentSky
AgentSky is a managed agent service for launching long-running AI agents in the cloud with one click. It supports multiple harnesses, persistent history, managed recovery, and access through chat channels, CLI, and API.
What AgentSky does
AgentSky is a managed agent service for launching long-running AI agents in a cloud-hosted sandbox. It is positioned for people who want an agent that stays up, remembers prior work, and can be reached from the channels where work already happens.
The product supports harnesses including Claude Code, Codex, Hermes, and OpenClaw, and the source says you can swap harnesses or models later without losing the agent’s history. It also exposes CLI and REST API workflows for developers who want to automate launches, messages, and streaming turns.
Core features
Harness and model flexibility
Choose between Claude Code, Codex, Hermes, and OpenClaw, then change the harness or model later without losing the agent’s history.
Managed durability and recovery
Agents run as managed workers with durable state, full timeline, snapshots, backups, and restore handled by AgentSky.
Omnichannel access
Use the same agent across WhatsApp, iMessage, Telegram, Slack, web chat, A2A, Discord, and CLI, with history and state following across channels.
Built-in tools and connectors
Built-in capabilities include web scraping, image generation, video generation, transcription, Gmail, Notion, and Slack, plus 2,000+ connectors.
Sandboxed runtime
Launch isolated sandboxes that boot in seconds and attach only the tools the agent needs.
Practical ways to use AgentSky
Run a persistent agent in the cloud
Launch a cloud-hosted agent for ongoing work, then manage it through CLI or API calls instead of leaving it tied to a local machine.
Keep one agent available across channels
Use the same agent across team channels such as Slack, Telegram, WhatsApp, iMessage, or web chat so its state and history stay continuous.
Ship developer products on agent infrastructure
Build on top of the platform by using REST and CLI workflows to create agents, send turns, stream events, and automate agent operations.
Move a local agent into a managed runtime
Clone an existing local Claude Code, Codex, or OpenClaw setup to the cloud with the same instructions, model, and MCP servers.
Start agents with built-in tools
Use the bundled capabilities, such as scraping, image generation, transcription, or connectors, without assembling separate vendors first.
Pros and Cons
Pros
- Supports multiple harnesses and a long list of models, with the option to switch later without losing history.
- Offers managed recovery, snapshots, backups, and durable state so long-running work can continue after restarts or faults.
- Provides multiple access surfaces, including web, Slack, Telegram, WhatsApp, iMessage, A2A, CLI, and REST API.
- Includes built-in capabilities and connectors, reducing the need to assemble separate tools before an agent can start working.
- Has a pricing model that separates model usage from compute, with parked agents free and a $3 sign-up credit.
Cons
- Channel and connector behavior is only partially documented in the provided source, so limits may vary by surface.
- The source mentions some capabilities as built-in, but does not fully document every tool, permission model, or integration limit.
FAQ
What is AgentSky?
AgentSky is a managed agent as a service. It launches a long-lived AI agent in a managed sandbox, keeps its history, and lets you reach it through channels such as WhatsApp, iMessage, Telegram, Slack, web chat, A2A, and CLI.
Which harnesses and models can I run?
You can choose from Claude Code, Codex, Hermes, or OpenClaw at launch, and the source says you can swap the model or harness later without losing the agent’s history.
Do I need to write code or paste API keys to start?
No. The source says there is no SDK to install, no API key or bot token to paste, and no infrastructure to stand up before launching an agent. A one-click launch is available from the UI, and CLI/API access is also documented.
How does pricing work?
Agents are billed from $3 per month plus usage. Parked agents are free, and signing up grants a $3 credit with no card required.
Does the agent keep its memory if it restarts?
Yes. The source says AgentSky supports Zero Data Retention (ZDR), and that agents keep an infinitely long continuous history with managed recovery through snapshots, backups, and restore.
Quick Facts
- Category
- Managed agent service
- Primary users
- Developers and teams launching long-running AI agents
- Access surfaces
- Web chat, Slack, Telegram, WhatsApp, iMessage, A2A, CLI, REST API
- Supported harnesses
- Claude Code, Codex, Hermes, OpenClaw
- Pricing
- Starts at $3/mo plus usage; parked agents are free
- Website
- agentsky.dev
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