Clarifai 12.1: Building Production-Ready Agentic AI at Scale

Clarifai's latest release, version 12.1, enhances the capabilities for deploying production-ready Agentic AI systems by introducing new infrastructure features and tools. The update focuses on providing robust infrastructure support through Clarifai's Compute Orchestration, which now allows for the deployment of public Model Context Protocol (MCP) servers, enabling agentic models to access external tools and real-time data without the need for custom server management. The release also includes the introduction of Artifacts, a versioned storage system for managing files produced by AI workflows, which enhances reproducibility, checkpointing, and version control. The platform's Pipeline UI has been improved to streamline the management and monitoring of long-running workflows, offering features such as version management, run logs, and execution controls directly from the interface. Additionally, Clarifai has retired its Community Plan in favor of a more flexible Pay-As-You-Go plan, and the Python SDK has been updated to improve reliability and support for agentic workflows. These advancements aim to simplify the development, deployment, and management of complex AI systems across various environments, with an emphasis on scalability and control.