Extensible core
Pi is built as a minimal terminal coding harness rather than a fixed workflow. The core stays small while you add behavior through extensions, skills, prompt templates, themes, and packages.
Pi Coding Agent
Pi Coding Agent is a terminal-based coding agent for developers who want a minimal, extensible harness for interactive work and automation. It supports model switching, session branching, and multiple run modes including TUI, print/JSON, RPC, and SDK.
Overview
Pi Coding Agent is a terminal-based coding agent that acts as a minimal harness for software development work. Its design emphasizes a small built-in core and a broad extension model, so you can shape the agent around your own workflow instead of adapting your process to a rigid product.
The product supports interactive terminal use as well as print/JSON, RPC, and SDK modes, which makes it usable for both day-to-day editing and automation. Pi also supports `AGENTS.md` project instructions, `SYSTEM.md`, session branching, model switching, and package-based customization through extensions, skills, prompt templates, and themes.
The site positions Pi as a tool for users who want a configurable coding assistant with fewer baked-in assumptions. Rather than adding every advanced behavior to the core, Pi encourages those capabilities to be implemented through extensions or installed packages when needed.
Core features
Multiple run modes
The agent supports both interactive terminal use and non-interactive modes. You can run print/JSON output for scripts, use RPC over stdin/stdout, or embed Pi through the SDK.
Context and instruction control
Pi can load project instructions and reusable capabilities on demand. It supports `AGENTS.md`, `SYSTEM.md`, skills, prompt templates, and context management features such as compaction.
Tree-structured sessions
Sessions are stored as trees, so you can revisit earlier points, branch from a prior message, and keep the full history in one file. The UI also supports bookmarks and export/share flows.
Multi-provider model switching
Pi lets you switch among many providers and models mid-session. The docs and homepage mention providers including Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, xAI, Ollama, and more.
Shareable Pi packages
Packages bundle extensions, skills, prompts, and themes so they can be installed from npm or git. The site includes examples of packages that add workflow helpers, UI polish, search tools, and other capabilities.
Common use cases
Repo-aware coding sessions
Use Pi in a project directory when you want a terminal assistant that can read local instructions, adapt to repo-specific rules, and keep working in a live coding session.
Automation and integration
Use the print/JSON, RPC, or SDK modes when you need the agent inside scripts, services, or another application rather than in the interactive TUI.
Branching reviews and handoff
Use session trees, branching, and export/share features when you want to revisit a prior decision, compare alternate paths, or share a specific run with someone else.
Custom workflow setup
Use extensions and packages when you need a custom command, UI behavior, tool, or workflow helper that is not part of the default core.
Multi-model development
Use provider and model switching when a task benefits from changing models mid-session or when your team already relies on different model backends.
Pros and Cons
Pros
- Minimal core with broad extensibility through TypeScript extensions, skills, templates, themes, and packages.
- Supports several usage modes, including interactive TUI, print/JSON, RPC, and SDK integration.
- Can switch models and providers mid-session across a large provider list.
- Stores sessions as trees, which supports branching, rewinding, and sharing prior states.
- Loads project-specific instructions from `AGENTS.md` and `SYSTEM.md`, which supports per-repo context control.
Cons
- The pricing page shown in the collected evidence does not provide public pricing details, so cost and plan structure are unclear from the source set.
- Some advanced workflows are intentionally not built in, such as sub-agents, plan mode, permission gates, and MCP support; the site frames these as extension opportunities rather than core features.
FAQ
How do I install and start using Pi?
Pi is a terminal-based coding harness that is meant to be installed and run from the command line. The docs show installation with npm or a shell installer on Linux and macOS, and then launching it in a project directory with `pi`.
What makes Pi different from a typical coding agent?
Pi is designed to stay small at the core and be extended with TypeScript extensions, skills, prompt templates, themes, and Pi packages. The homepage also notes support for `AGENTS.md` files and a minimal system prompt.
Can Pi be used in automation or embedded in other tools?
Pi supports interactive terminal use, print/JSON mode for scripts, RPC over stdin/stdout, and an SDK for embedding it in Node.js applications. The docs and homepage both point to these modes as the main ways to integrate or automate it.
Does Pi support branching conversations or session history?
Pi supports session branching, tree navigation, export to HTML, and sharing sessions through a GitHub gist or shareable URL. It stores sessions as trees so you can return to earlier points and continue from there.
Is Pi currently priced or listed with a public plan?
The pricing page text shown here does not present a plan or pricing details; it only states that the page does not exist. Based on the available evidence, pricing is not confirmed on the site content provided.
Quick Facts
- Category
- Developer Tool
- Platform
- Terminal / command line
- Source domain
- pi.dev
- Primary use
- Coding agent and workflow harness
- Distribution
- npm and shell installer
- Pricing
- Not shown in provided site content
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