Pi Agent logo

Pi Agent

Community
dralkh
pi-agent

Build with and use Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding).

Overview

Publisherdralkh
Repositoryseerai
Skill namepi-agent
Stars
96
Forks
5
Bundled files
32
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 32 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dralkh on GitHub. Read the source before you install it.

Installation

Install the Pi Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dralkh/seerai/tree/main/skills/pi-agent
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dralkh/seerai.git /tmp/seerai
mkdir -p .claude/skills
cp -r /tmp/seerai/skills/pi-agent .claude/skills/pi-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pi Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pi Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pi Agent

Use this skill when the user wants to operate Pi or build on top of Pi. Pi is a minimal terminal coding harness extended through TypeScript extensions, skills, prompt templates, themes, packages, custom models/providers, SDK integrations, RPC mode, JSON event streams, and TUI components.

First Decision

Pick the reference before answering or coding:

User intentRead
Install, authenticate, first runreferences/quickstart.md
Day-to-day CLI usage, commands, modes, flagsreferences/usage.md
Provider auth, API keys, cloud provider setupreferences/providers.md
Custom model entries, local models, proxiesreferences/models.md
Extension development, custom tools, events, commandsreferences/extensions.md
Custom provider implementation, OAuth, custom streamingreferences/custom-provider.md
Embed Pi in Node/TypeScriptreferences/sdk.md
Integrate from another process/languagereferences/rpc.md
Consume JSONL event outputreferences/json.md
Build terminal UI componentsreferences/tui.md
Package extensions/skills/prompts/themesreferences/packages.md
Delegate to subagents, chains, parallel runs, orchestrationreferences/pi-subagents.md
Connect MCP servers, MCP tool discovery/configreferences/pi-mcp-adapter.md
Interactive interview forms, structured user inputreferences/pi-interview.md
Web search, URL/PDF/repo fetching, video understandingreferences/pi-web-access.md
Author Pi skillsreferences/skills.md
Prompt templates or themesreferences/prompt-templates.md, references/themes.md
Sessions, branching, compaction, parsing JSONLreferences/sessions.md, references/compaction.md, references/session-format.md
Security, sandboxing, trustreferences/security.md, references/containerization.md
Keyboard or terminal issuesreferences/keybindings.md, references/terminal-setup.md, references/tmux.md, references/windows.md, references/termux.md, references/shell-aliases.md
Working on Pi itselfreferences/development.md

Build-On-Pi Defaults

Prefer the SDK for Node/TypeScript apps that need type safety, direct state access, in-process custom tools/extensions, or custom resource loading. Use createAgentSession() for a single stable session; use createAgentSessionRuntime() when the app must replace sessions through new/resume/fork/clone/import flows.

Prefer RPC mode when the client is not Node.js, needs process isolation, or wants a language-agnostic JSONL protocol. Start with pi --mode rpc --no-session for stateless subprocess integration, then add session flags when persistence matters.

Prefer JSON mode for one-shot command-line pipelines that only need streamed events, not bidirectional control: pi --mode json "prompt".

Use extensions for Pi-native behavior: custom tools, command handlers, event hooks, provider registration, custom compaction, path protection, project trust policy, UI prompts, widgets, and TUI components.

Use packages when sharing or installing reusable extensions, skills, prompt templates, or themes across machines or projects.

Safety Defaults

Pi is local and not sandboxed by default. Treat extensions, packages, skills, shell commands, and project-local .pi resources as code with the permissions of the Pi process. For untrusted repos or unattended automation, isolate with Docker, OpenShell, Gondolin, a VM, or a remote sandbox.

Do not store secrets in project files. Prefer env vars, ~/.pi/agent/auth.json, OAuth via /login, or command-backed secret lookups in models.json/provider config.

Common Commands

bash
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
pi
pi -p "Summarize this codebase"
pi --mode json "List files"
pi --mode rpc --no-session
pi --provider anthropic --model claude-sonnet-4-5
pi --tools read,grep,find,ls -p "Review this repository"

Source Coverage

These references summarize the Pi documentation at https://pi.dev/docs/latest and each docs page found under it as of this skill version, plus the package pages for pi-subagents, pi-mcp-adapter, pi-interview, and pi-web-access at https://pi.dev/packages/. When exact API behavior matters, prefer the cited reference page and inspect installed TypeScript definitions under node_modules/@earendil-works/pi-coding-agent/dist/ and node_modules/@earendil-works/pi-ai/dist/.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pi Agent AI skill do?

Build with and use Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding).

Why use Pi Agent on TypingMind?

Because you install it once and use it with any model. Pi Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pi Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dralkh/seerai/tree/main/skills/pi-agent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pi Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pi Agent?

As many as you like. As long as a model supports skills, you can use Pi Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pi Agent AI skill free?

Yes. It is published on GitHub by dralkh under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇