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pi EARENDIL INC.

agent agentic ai chatbot code coding large-language-model llm programming
Use this command to install pi:
winget install --id=EarendilWorks.pi -e

Pi is a minimal terminal coding harness designed to adapt to your workflows without requiring you to fork or modify its internals. It provides a flexible platform for developers and technical teams to extend functionality through TypeScript Extensions, Skills, Prompt Templates, and Themes.

Key Features:

  • Extendable with TypeScript Extensions, Skills, Prompt Templates, and Themes.
  • Share extensions via npm or git.
  • Runs in four modes: interactive, print/JSON, RPC for process integration, and SDK for embedding.
  • Ships with powerful defaults while allowing users to build custom features or install third-party packages.

Audience & Benefit: Ideal for developers and technical teams seeking a flexible tool that grows with their needs. Pi enables extensibility, customization, and seamless integration into existing workflows, all while maintaining simplicity and avoiding the need for internal modifications. Users can share their extensions and collaborate via npm or git.

README

pi.dev domain graciously donated by

exe.dev

> New issues and PRs from new contributors are auto-closed by default. Maintainers review auto-closed issues daily. See CONTRIBUTING.md.

Pi Agent Harness Mono Repo

This is the home of the pi agent harness project including our self extensible coding agent.

  • @earendil-works/pi-coding-agent: Interactive coding agent CLI
  • @earendil-works/pi-agent-core: Agent runtime with tool calling and state management
  • @earendil-works/pi-ai: Unified multi-provider LLM API (OpenAI, Anthropic, Google, …)

To learn more about pi:

  • Visit pi.dev, the project website with demos
  • Read the documentation, but you can also ask the agent to explain itself

Share your OSS coding agent sessions

If you use pi or other coding agents for open source work, please share your sessions.

Public OSS session data helps improve coding agents with real-world tasks, tool use, failures, and fixes instead of toy benchmarks.

For the full explanation, see this post on X.

To publish sessions, use badlogic/pi-share-hf. Read its README.md for setup instructions. All you need is a Hugging Face account, the Hugging Face CLI, and pi-share-hf.

You can also watch this video, where I show how I publish my pi-mono sessions.

I regularly publish my own pi-mono work sessions here:

Versions
0.74.0
0.73.1
0.73.0
0.72.1
0.72.0
0.71.1
0.71.0
0.70.6
0.70.3
0.70.2
show 20 more
Website
github.com
License
Last updated
5/8/2026
Download latest version
  • badlogicgames/pi-mono on Hugging Face

All Packages

PackageDescription
@earendil-works/pi-aiUnified multi-provider LLM API (OpenAI, Anthropic, Google, etc.)
@earendil-works/pi-agent-coreAgent runtime with tool calling and state management
@earendil-works/pi-coding-agentInteractive coding agent CLI
@earendil-works/pi-tuiTerminal UI library with differential rendering
@earendil-works/pi-web-uiWeb components for AI chat interfaces

For Slack/chat automation and workflows see earendil-works/pi-chat.

Contributing

See CONTRIBUTING.md for contribution guidelines and AGENTS.md for project-specific rules (for both humans and agents).

Development

npm install          # Install all dependencies
npm run build        # Build all packages
npm run check        # Lint, format, and type check
./test.sh            # Run tests (skips LLM-dependent tests without API keys)
./pi-test.sh         # Run pi from sources (can be run from any directory)

> Note: npm run check requires npm run build to be run first. The web-ui package uses tsc which needs compiled .d.ts files from dependencies.

License

MIT