The Pi project announced the release of Pi 1.0, a stable version of its minimal agent harness designed for building and running AI-powered workflows. The update marks the culmination of months of iterative refinement based on community feedback, aiming to deliver a reliable foundation for developers integrating AI into their tools.

Pi 1.0 introduces several technical enhancements focused on extensibility and operational efficiency. These include native support for the Model Control Protocol (MCP), enabling integration with non-LLM models such as Jev and image-based systems. The release also adds extension capabilities for virtual models, deferred tool loading, and cache warming specifically for Anthropic's model ecosystem. A notable feature is mid-conversation system message adjustments, allowing dynamic prompt and tool modifications during active sessions. The platform now defaults to full-screen mode and includes a refreshed terminal user interface theme.

The development team emphasized a deliberate approach to feature adoption, prioritizing proven functionality over transient trends. This philosophy extends to Pi Durable, an experimental extension currently available via npm. Pi Durable targets long-running agentic applications, extending Pi's minimalist principles to support persistent workflows and multi-surface interaction. The package aims to improve durability for use cases requiring extended conversation handling and task continuity beyond terminal environments.

Both Pi 1.0 and Pi Durable are released under the MIT license. Installation is facilitated through command-line tools: a curl-based script for Unix-like systems or a PowerShell command for Windows. The project maintains public documentation at pi.dev and hosts its source code on GitHub under the earendil-works organization. Codemode, a related project, demonstrates Pi's utility by generating commit summaries, managing model routing, and tracking operational costs across different AI providers.