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Minimal, extensible terminal AI coding agent you can shape to your own workflow, with 15+ model providers.

Task: Coding & DevelopmentUse case: Terminal based coding agent for building custom workflows and automating developModels: anthropic, openai, google

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Video tutorials

Community tutorials

Summarized from 3 community tutorials · August 2026

What you need

Access: Free
API key: Bring your own
Runs on: CLI · API
You’ll need: A terminal environment (Linux, macOS, WSL, or Git Bash on Wi
Node/npm available since Pi and its extensions are installed
An account or API key with a supported model provider (Anthr
Skill level: Developer — code or a terminal
Setup time: about 10 minutes

Worth knowing: By default Pi executes shell commands and file edits without asking for approval, and you must install a separate permission extension to get any confirmation prompts.

Summarized from 3 community tutorials · August 2026

Highlights

Model provider login and switchingDemonstrated connecting Pi to a subscription or API-key provider via /login and switching or cycling models with Ctrl+L and Ctrl+P.
Session branching and recoveryShowed resuming a session with -c, listing/deleting sessions with -r, and branching or duplicating conversation history with /tree, /fork, and /clone.
Installing feature extensions via npmUsed 'pi install npm' to add permission prompts, undo/redo, and web search capabilities that are not built into Pi by default.
External editor integrationConfigured and used Ctrl+G to open a prompt in VS Code for drafting longer messages before sending them back to Pi.
Custom skills and prompt templatesInstalled a skill folder with a skill.md file and created a custom slash-command prompt template that expands into a full prompt when invoked.

Summarized from 3 community tutorials · August 2026