Understand the project
Practical overview
When it fits
Use SRE when the project requires an open-source execution foundation for agentic AI and needs runtime, SDK and CLI layers rather than a visual-only builder or a hosted end-user application.
Who it is for
- Developers building agentic AI applications
- Teams needing self-hosted or cloud-based agent infrastructure
- TypeScript developers creating agents through code
- Builders designing workflows that may span local, cloud and edge execution
Documented uses
- Create AI agents programmatically with a TypeScript SDK
- Run and manage agent lifecycles through an agent runtime
- Develop agent projects through a command-line interface
- Connect agents to LLMs, vector databases, storage and caching through unified resource interfaces
- Move agent applications between local, cloud and edge environments
Before you choose
Requirements & limits
The repository is publicly accessible, active and licensed under MIT. The documented quick start uses npm to install either the CLI or SDK. No account, pricing or hosted-service availability details are provided.
- SRE combines the runtime kernel, SDK and CLI in one repository.
- Its documented resource abstraction covers LLMs, vector databases, storage and caching through consistent interfaces.
- The repository describes modular connectors for infrastructure services and lifecycle management for agents.
- The project is TypeScript-based and its quick start is centered on npm.
- The intended deployment scope includes local, cloud and edge environments.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 3 October 2026
- Original website title
- SmythOS/sre · Official homepage title · retained in its source language