Steel is a developer-centric framework designed to accelerate the creation and operation of LLM-powered agents in production environments. It offers provider-agnostic connectors for major model APIs, an in-memory and persistent memory store, built-in tool invocation patterns, automatic caching of responses, and detailed tracing for observability. Developers can define complex agent workflows, integrate custom tools (e.g., search, database queries, and external APIs), and handle streaming outputs. Steel abstracts the complexity of orchestration, allowing teams to focus on business logic and rapidly iterate on AI-driven applications.
Steel Core Features
Provider-agnostic model connectors (OpenAI, Azure, etc.)
In-memory and persistent memory stores
Tool integration framework for custom APIs
Automatic response caching
Streaming response support
Real-time tracing and observability
Steel Pro & Cons
The Cons
No dedicated mobile or app store applications available
May require technical knowledge to integrate and use APIs effectively
Pricing and feature details may be complex for casual or non-technical users
The Pros
Open-source browser automation platform with cloud scalability
Supports popular automation tools like Puppeteer, Playwright, and Selenium
Built-in CAPTCHA solving and proxy/fingerprinting to avoid bot detection
Long running sessions up to 24 hours for extensive automation tasks
Live session viewer for debugging and observability
Secure sign-in and context reuse for authenticated web automation
Flexible pricing plans including a free tier with monthly credits
