SmythOS provides a comprehensive operating system for building, deploying, and managing AI agents at scale. It offers a unified SDK and a modular runtime environment, abstracting away infrastructure complexities for developers.

How It Works

SmythOS is designed with an operating system kernel philosophy, managing AI resources and providing a consistent SDK interface across development and production. Its core strength lies in its unified resource abstraction, allowing seamless swapping of providers (e.g., storage, LLMs, vector databases) without altering business logic. This modularity and abstraction enable flexibility, scalability, and ease of management for AI agent workloads.

Quick Start & Requirements

• CLI Installation: npm i -g @smythos/cli followed by sre create to scaffold a new project.
• SDK Installation: npm install @smythos/sdk for direct integration into existing projects.
• Prerequisites: Node.js. Debugging requires setting LOG_LEVEL="debug".
• Resources: Links to SDK Documentation, SRE Core Documentation, and Code Examples are provided.

Highlighted Details

• Unified Abstraction: Consistent APIs for Storage (Local, S3, GCS, Azure), LLMs (OpenAI, Anthropic, Groq), VectorDBs (Pinecone, Milvus), and more.
• Agent-First Design: Built specifically for AI agent workloads with features like agent lifecycle management and orchestration.
• Enterprise Security: Built-in Candidate/ACL system for secure resource access and credential management.
• Modular Components: Over 40 production-ready components for AI, data processing, and integrations, swappable without breaking the system.

Maintenance & Community

• Community support is available via Discord.
• A visual agent IDE is planned for release later this year.

Licensing & Compatibility

• License: MIT License.
• Compatibility: Permissive license suitable for commercial use and integration with closed-source applications.

Limitations & Caveats

The project is actively developed, with a visual IDE planned for future release. Specific performance benchmarks or detailed resource requirements for production deployments are not explicitly detailed in the README.