inference.sh
Run any AI model via one API, compose agents, stack versioned skills, durable execution, pay-per-run, zero vendor lock-in. Your AI never forgets.
Editor's Verdict
Key Takeaways
- Tools
- Skills
- Agents
- UI
In-Depth Review: What is inference.sh?
Inference.sh is an AI runtime platform designed to compound intelligence with every session. It provides a single API for any model—image, video, audio, text, search, or 3D—along with a registry of versioned, secure skills. Build agents with durable execution, human-in-the-loop, and real-time streaming, all without vendor lock-in. The platform includes AI-native UI components, a CLI for seamless deployment, and a team workspace. With pay-per-execution pricing and persistent context, your AI gets smarter over time, making it ideal for production-grade applications.
Core Features
Tools
Access any AI model via a single API call for image, video, audio, text, search, and 3D. One key, pay per run, zero vendor lock-in.
Skills
Versioned, secure, and evolving skill registry that works in every runtime. Don't write the same prompt twice.
Agents
Move from demo to production in an afternoon with durable execution, persistent state, and human-in-the-loop capabilities.
UI
AI-native React components including chat, generative UI, and tool approvals with 30+ widgets.
Teams
Shared memory, automations, and self-hostable team workspace for collaborative AI development.
Belt CLI
One CLI that ties everything together: skills, tools, connectors, and deploy. Agents never start cold again.
Flows
Compose tools into new tools and chain anything for complex workflows.
Connectors
Connect any service with one command, enabling seamless integration.
BYOK
Bring your own API keys and use your cloud credits to avoid vendor lock-in.
Pay-Per-Use
No subscriptions. Add credits and pay only for what you use. Tiers scale automatically based on cumulative usage.
Pricing
Starter
- Base concurrent agents
- Base concurrent API calls
- Standard result storage
Growth
- More concurrent agents
- More concurrent API calls
- Extended result storage
- BYOK (own API keys)
- Team workspaces
- Private apps
- Priority queue
- Custom integrations
- Priority support
Scale
- Highest concurrent agents
- Highest concurrent API calls
- Maximum result storage
- BYOK (own API keys)
- Team workspaces
- Private apps
- Priority queue
- Custom integrations
- Priority support
Enterprise
- Custom concurrency
- Pooled credits
- SSO/SAML
- Audit logs
- Self-hosted
- Dedicated support + SLAs
Pros and Cons
Pros
- All-in-One AI RuntimeRun any model, compose agents, stack knowledge, and it never forgets. One platform for all AI needs.
- Durable ExecutionLong-running tasks with persistent state and human-in-the-loop. No more timeouts or lost context.
- BYOK (Bring Your Own Keys)Use your own API keys and cloud credits to avoid vendor lock-in and control costs.
- Pay-Per-Use PricingNo subscriptions. Add credits and pay only for what you use. Tiers automatically scale with usage.
- Skill RegistryVersioned, security-scanned, and fitness-ranked skills that evolve. Share and reuse proven instructions.
Cons
- New Ecosystem to LearnRequires learning the Belt CLI, skill registry, and agent concepts. May have a learning curve for new users.
- Limited Free Tier FeaturesStarter plan lacks advanced features like BYOK, team workspaces, and private apps. Higher tiers require contacting sales.
- Platform DependencyWhile claiming zero vendor lock-in, reliance on inference.sh infrastructure may still create dependency for some workflows.
- Overkill for Simple TasksFor developers who only need a single model API call, the platform's full capabilities may be unnecessary.
- Pricing TransparencyHigher tiers (Growth, Scale) require contacting sales for pricing, which may be less transparent than fixed monthly plans.
Use Cases & Recommended Professions
AI Engineer→ View Toolkit
Build and deploy sophisticated AI agents with durable execution, human-in-the-loop, and composable tools.
Software Developer→ View Toolkit
Integrate any AI model via a single API call, use pre-built skills, and leverage the Belt CLI for rapid development.
Data Scientist→ View Toolkit
Access multiple AI models (text, image, audio) for data analysis, and use the skill registry to share proven workflows.
Product Manager→ View Toolkit
Quickly prototype AI features with agents and UI components, then scale to production with minimal engineering overhead.
DevOps Engineer→ View Toolkit
Manage AI deployments with the Belt CLI, BYOK for cost control, and self-hosted options for enterprise compliance.
Startup Founder→ View Toolkit
Rapidly build AI-powered products using pay-per-use pricing, no vendor lock-in, and a comprehensive ecosystem of tools.
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ℹ️ Curation Disclosure: The overview and features of inference.sh were synthesized using AI and fact-checked by our curation team to ensure accuracy.
