Saga provides a flexible architecture for building AI agents that plan and execute multi-step workflows. Core components include a planner module that breaks goals into actions, a memory store for conversational and task context, and a tool registry for integrating external services or scripts. Agents run asynchronously, manage state across sessions, and support custom tool development. Saga enables rapid prototyping of autonomous assistants, automating tasks such as data collection, alerting, and interactive Q&A within your own Python environment.

The Foundry AI platform offers a deterministic web simulation and annotation framework, enabling users to collect high-quality labels, benchmark browser agents effectively, and debug performance issues. It ensures reproducible testing and scalable evaluation without the challenges of web drift, IP bans, and rate limits. Built by industry experts, the platform enhances agent evaluation, continuous improvement, and performance debugging in a controlled environment.