comparison
inference shell agents vs Mastra
Mastra is a typescript agent framework. inference shell agents is a production runtime with tools, skills, and channels built in.
| Mastra | inference shell | |
|---|---|---|
| agent orchestration | yes | yes |
| typescript SDK | yes | yes |
| connectors | yes | yes |
| workflow orchestration | yes | yes |
| human-in-the-loop | yes | yes |
| durable execution | - | yes |
| hundreds of tools built in | - | yes |
| multi-channel (slack, telegram, discord) | - | yes |
| cron triggers and scheduling | - | yes |
| skill registry | - | yes |
| team workspace | - | yes |
the key difference
Mastra is an open-source typescript framework for building agents. it gives you a clean SDK for defining tools, workflows, and RAG pipelines. you deploy it yourself on your own infrastructure.
inference shell agents is a managed runtime. you write the agent logic, we handle durable execution, retries, state persistence, queuing, and observability. the key difference: with Mastra, you build and manage the infrastructure. with inference shell, you skip it.
tools included, not just integrated
Mastra has good connector support and tool definitions. you write tool implementations and deploy them alongside your agent. inference shell has that plus hundreds of tools ready to call: AI models, video rendering, email, search, project management. your agent doesn't need custom tool implementations for common operations.
both Mastra and inference shell support typescript. the difference is what comes with the runtime. Mastra gives you the building blocks. inference shell gives you the building blocks plus the infrastructure and a tool catalog.
if you want a self-hosted, open-source typescript framework with full control over deployment and infrastructure, Mastra gives you that flexibility.
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start with the hosted platform. deploy your own when you're ready.
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