sre
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, r
What is sre?
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.
Overview of sre
What it is
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. It provides OS-level abstractions for AI resources—LLMs, vector databases, storage, and caching—with a unified API that works identically across all providers. The repository also includes a Software Development Kit (SDK) and Command Line Interface (CLI) for building and running agents with code. SRE is designed to be secure, modular, and production-ready, allowing developers to build, run, and manage intelligent agents across local, cloud, and edge environments.
Key features
- Unified Resource Abstraction: Consistent interface for all AI resources (LLMs, VectorDBs, storage, cache) across different providers.
- Modular Architecture: Pluggable connectors for every service, including Storage (Local, S3, Google Cloud, Azure), LLM (OpenAI, Anthropic, Google AI, AWS Bedrock, Groq, Perplexity), VectorDB (Pinecone, Milvus, RAMVec), Cache (RAM, Redis), and Vault (JSON File, AWS Secrets Manager, HashiCorp).
- Security-First: Built-in access control and secure credential management with a Candidate/ACL system.
- Agent Orchestration: Complete agent lifecycle management with intelligent memory, storage, and compute management.
- 40+ Production-Ready Components: Pre-built components for AI, data processing, and integrations.
- Developer-Friendly SDK: Simple, type-safe TypeScript API that works from development to production.
Use cases
Building, running, and managing production AI agents across local, cloud, and edge environments. Suitable for developers who need a consistent infrastructure layer for agentic AI workloads, enabling them to write agent logic once and scale it anywhere.
Getting started
Install the CLI globally and create a new project:npm i -g @smythos/clisre createOr add the SDK directly to an existing project:npm install @smythos/sdk
License and pricing
License: MIT. The project is open source (pricing type: open_source). No additional pricing information is stated.
Based on the project's public README and repository metadata.
