AgentSky
Managed cloud service to launch and run AI coding agents (Claude Code, Codex, and others) with one API across web, messaging, and API channels.
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Description
Running an AI agent continuously — not just for a single chat session, but as something that keeps working, remembers history, and recovers if it crashes — usually means building your own hosting and orchestration layer. AgentSky offers that as a managed service instead.
AgentSky is a cloud platform providing a unified API to launch and manage AI agents across eight different frameworks — including Claude Code, Codex, Hermes, and OpenClaw — with full conversation history, managed recovery if an agent fails, and deployment across web, API, and messaging channels like Slack, Telegram, Discord, and WhatsApp. It includes over 2,000 app integrations and lets users pair agents with different language models, including using an existing Claude Pro/Max or ChatGPT subscription to avoid separate model costs. It has real customer traction, with named users like Tycoon running over 150,000 agents and HeyBoss AI running over 250,000.
💬 Our review
The short version: AgentSky solves a real infrastructure problem — keeping AI agents alive, recoverable, and reachable across channels — and the customer numbers (150k+ and 250k+ agents at named companies) are a genuinely strong signal this works at scale.
Against Replit, Vercel AI, or building your own orchestration on top of a framework directly, AgentSky's value is consolidation: one API across eight different agent frameworks, rather than learning and maintaining separate integration code for each one. The ability to use an existing Claude Pro/Max or ChatGPT subscription instead of paying separately for model tokens is a genuinely useful cost lever most competitors don't offer. The 2,000+ app integrations and multi-channel deployment (Slack, Telegram, Discord, WhatsApp) mean an agent built here can actually reach users where they already are, not just live in a dashboard. The trade-off is that consolidating multiple frameworks behind one API can obscure framework-specific capabilities you might want direct access to, and usage-based pricing compounding with token costs needs watching at real volume. Best fit: teams that want to deploy agents across multiple channels and frameworks without building custom hosting and orchestration themselves. Weaker fit: teams committed to one specific agent framework who want deep, unabstracted access to its native features.
💰 Pricing
📊 Global score
🤖 AI-enriched data
3 $ de crédits gratuits (sans carte). Paiement à la minute d'exécution d'agent + usage de tokens du modèle. Coûts modèle gratuits si abonnement Claude Pro/Max ou ChatGPT existant.
Pros
API unifiée pour 8 frameworks d'agents différents
Usage modèle gratuit avec abonnements existants (Claude Pro/Max, ChatGPT)
Déploiement multi-canal (Slack, Telegram, Discord, WhatsApp, API)
2 000+ intégrations d'apps
Traction client prouvée à l'échelle (150k+ et 250k+ agents)
Cons
Qualité de l'agent dépend du modèle choisi
Tarification usage-based peut se cumuler à fort volume
Transparence limitée sur les limites de taux/concurrence
Consolidation multi-framework peut masquer des capacités spécifiques