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Pi Coding Agent

Pi Coding Agent is an open-source terminal coding agent that reads, edits and runs code in your project folder using the model provider you choose. Extensions, skills and packages add the features it leaves out by design.

Developer ToolsCode DevelopmentAI Agent#Open Source#Coding#Developer Tools
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Sep 28, 2026
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Pi Coding Agent Product Information

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pi.dev
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What is Pi Coding Agent?

Pi Coding Agent (called simply "Pi" on its own site) is a terminal coding agent: you give it a goal and a working folder, and it can inspect files, run commands, edit content and work through multi-step tasks.

The project positions Pi as a minimal agent harness that you adapt to your workflows rather than the other way around. Instead of shipping every feature in the core, it keeps a small base and expects you to add what you need through extensions, skills, prompt templates, themes and packages.

Pi was written by Mario Zechner, and Earendil Inc. announced on April 8, 2026 that it had acquired the Pi open-source project. The pi.dev site footer now credits "Earendil Inc. & Contributors" and links to the MIT License.

Before choosing it, know three things: Pi has no price of its own but needs a model provider, it acts without asking for per-step approval, and features such as sub-agents, plan mode and MCP support are left out of the core on purpose.

Core features

Pi's core is a small tool set, a session store and a loader for context files. Almost everything else is a customization layer on top.

Built-in tools

  • Default tools: a new session enables read, bash, edit and write unless the defaultTools setting changes them.
  • Optional tools: the full built-in set also includes powershell, grep, find and ls.
  • Per-run allowlists: the --tools option replaces the default selection with a comma-separated allowlist of built-in, extension or custom tools, so a review run can be limited to read, grep, find and ls.

With bash and write enabled by default, an unmodified session can change files and run shell commands; narrowing the tool list is the built-in way to reduce that reach.

Extensions, skills and packages

  • Extensions: TypeScript modules with access to tools, commands, keyboard shortcuts, events and the full terminal UI.
  • Skills: capability packages with instructions and tools; only their descriptions travel with each request, and full skill instructions are loaded on demand.
  • Pi packages: bundles of extensions, skills, prompts and themes that install from npm or git with pi install.

The homepage lists the kinds of features extensions are expected to supply instead of the core: sub-agents, plan mode, permission gates, path protection, SSH execution, sandboxing, MCP integration, custom editors, status bars and overlays. It also describes Pi as able to modify itself: if you need a command, tool, provider, workflow or UI tweak, you ask Pi to build it, then reload and keep working. A public package catalog on pi.dev lists community extensions and skills published to npm, so a missing capability may already exist as a package.

Sessions, branching and compaction

  • Tree-structured history: sessions are stored as trees, /tree jumps to any earlier point to continue from there, and all branches live in a single file.
  • Compaction: compaction inserts a summary entry that replaces older messages in later model requests, while the original entries remain in the session tree.
  • Steering and follow-ups: you can type while Pi works; steering messages enter after the current assistant turn, and follow-up messages wait until the agent has finished its pending work.

Context files

  • AGENTS.md: project instructions load at startup from ~/.pi/agent/, parent directories and the current directory.
  • SYSTEM.md: a per-project file can replace or append to the default system prompt.

Four ways to run it

  • Interactive: the full terminal UI.
  • Print and JSON: pi -p "query" runs a prompt for scripts, and --mode json emits an event stream.
  • RPC: a JSON protocol over stdin and stdout for integrations that are not written for Node.
  • SDK: the same agent embedded in your own TypeScript application.

Guide

The quickstart gets a first session running in five steps:

  1. Install. On macOS or Linux, run the installer script from pi.dev; alternatively install the npm package, which requires Node.js 22.19 or newer.
  2. Start in a folder. Change to the folder you want Pi to work with and run pi; the working folder helps Pi discover relevant files, instructions and configuration, and groups saved sessions.
  3. Connect a model. Run /login, choose a provider, then follow the prompts to use a subscription or store an API key; /model switches to another available model.
  4. Give it a task. Pi shows each file read, search, command and edit it performs, and typing @ in the editor searches for a file instead of entering its full path.
  5. Continue later. Sessions save automatically; pi --continue resumes the most recent session for the same working folder, and /resume picks another saved session.

Pi Coding Agent use cases and examples

  • Work inside a code repository. The documentation names software development alongside research notes, writing projects, data files and hobby work as intended uses. One of its sample first tasks asks Pi to explain how a repository is structured and how to run its checks.
  • Coding with local models on modest hardware. A bylined technology-media how-to from May 2026 picked Pi for local-model setups because its default system prompt is short enough to keep things snappy, especially with prompt caching enabled, while Claude Code and Cline carry system prompts that can bring less capable hardware to a crawl.
  • Scripts and CI jobs. Provider keys can come from environment variables, which the docs recommend for CI and anywhere Pi should not store the key, and an automated run can pass --approve or --no-approve when it needs an explicit one-time project-trust decision.
  • Embedding an agent in another product. Earendil describes Pi as the minimal agent inside OpenClaw, and the SDK gives TypeScript code direct access to the agent, sessions, tools, models and resources that the command-line app uses.

Who is it for

Pi fits people who want to shape their own agent more than they want a finished product.

  • Developers who like to build their setup: a bylined July 2026 roundup of command-line alternatives to Claude Code concluded that because some features are not included by default, Pi is better suited to users who enjoy building and customizing their own setup.
  • Multi-provider users: people who already pay for more than one model provider, or want to move between hosted and local models, can switch models mid-session instead of changing tools.
  • Teams that already isolate agents: Pi's security guide says safety comes from limiting the files, credentials, processes and network services Pi can reach, not from watching the transcript or reviewing changes afterwards.

It is a weaker fit for anyone who expects per-action approval prompts out of the box. The May 2026 how-to noted that Pi's speed comes at the expense of many guardrails and safety features seen in other coding agents and suggested running it in a virtual machine, container or even a Raspberry Pi.

Platforms

  • Install options: the homepage offers a curl install script, a PowerShell script, and global installs through npm, pnpm or bun.
  • Windows: Pi runs either as a native Windows process, using Git Bash by default for Bash commands with an optional PowerShell tool, or inside Windows Subsystem for Linux.
  • Android: Pi runs through Termux, where text input, file tools and shell commands are supported but clipboard image paste is not.
  • Hosted model providers: the homepage lists Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, NVIDIA, OpenRouter, Ollama and more, with authentication through API keys or OAuth.
  • Local and self-hosted models: Pi integrates directly with the llama.cpp router, and Ollama, LM Studio, vLLM, SGLang and other compatible servers are added as endpoints in models.json.
  • Embedding: the @earendil-works/pi-coding-agent package embeds Pi in a Node.js or Bun process.
  • Isolation: the containerization guide describes running the complete Pi process in an isolated environment, or keeping Pi on the host and routing selected tools into one.

Pricing

Pi needs access to a model through a supported provider, which can be a subscription, an API key or a local model. No price, plan or checkout for Pi itself appeared in the pages checked for this review, and pi.dev had no separate pricing page. The MIT License it ships under grants permission to use, copy and modify the software free of charge.

The models guide pairs each kind of model access with a setup path in Pi:

What you haveSetup in Pi
A supported subscriptionSign in through /login
A provider API keyStore it through /login or set the provider's environment variable
A local GGUF modelConnect Pi to the llama.cpp router
An OpenAI-, Anthropic- or Google-compatible endpointAdd it to models.json
A provider with a custom protocol or login flowBuild or install a provider extension

Your spend therefore depends on the provider and model, not on Pi. The interactive footer shows context usage plus accumulated usage and cost, and the model catalog on pi.dev lists providers, model IDs, context limits and pricing. As captured on September 28, 2026, that catalog listed 1,516 models with input and output prices per million tokens.

For long-term planning, Earendil's licensing statement says Pi remains MIT licensed and that this will not change, but that future parts of Pi, or products related to it, may be Fair Source or proprietary. Earendil also runs its own gateway, Radius, which Pi can use as a provider through /login radius; Radius is described as early alpha, and its landing page did not show prices.

Pi Coding Agent alternatives

Editorial roundups of terminal agents usually compare Pi with tools that ship more features built in. Treat Pi as a Claude Code alternative when control over the harness matters more than out-of-the-box guardrails; the options below differ mainly on that axis.

  • OpenCode: an open-source coding agent that works in the terminal, an integrated development environment and a desktop app, and is not locked to one model provider.
  • Codex CLI: OpenAI's open-source terminal agent, which supports MCP servers, project instructions, images, different permission levels and a sandbox that limits what the agent can access.
  • Claude Code: Anthropic's agent also works with local models when enough resources are available, so model choice alone does not separate it from Pi.
  • Cline: named in the same local-model how-to as Claude Code, with a system prompt that the authors said can slow less capable hardware.

The July 2026 roundup put the trade-off plainly: Pi can be better than Claude Code for developers who want more control over their coding agent.

Limitations

Security model

  • No approval gate by default: Pi can read, change and execute files with the permissions of the account that started it, and it does not ask for approval before every tool call.
  • Project trust is not a sandbox: project trust decides which project resources load at startup, but it does not limit what tool calls can access or affect.
  • Context files always load: AGENTS.override.md, AGENTS.md and CLAUDE.md in a folder load regardless of project trust unless context loading is disabled, so instructions in a cloned repository can still steer the model.
  • Packages run code: Pi packages can execute extension code and include skills that instruct the model to run programs.
  • Narrow security scope: the project treats prompt injection from untrusted content, the lack of a built-in sandbox and the behavior of user-installed extensions or skills as generally outside its security boundary.

Independent coverage points the same way. A May 2026 technology-media how-to described Pi as operating in "YOLO mode" out of the box, with free rein to read and modify anything it has access to.

Features left out of the core

The homepage lists what Pi deliberately does not include: no MCP, no sub-agents, no permission popups, no plan mode, no built-in to-dos and no background bash. Each comes with a workaround, such as CLI tools documented as skills, a container, a Markdown to-do file or tmux, but none of them is a one-click setting.

Release pace

Releases can include breaking changes for people who build on Pi. Version 0.87.0, released on September 21, 2026, listed breaking changes including removal of the inherited shouldStopAfterTurn agent option, and 0.87.1 followed on September 22, 2026.

Privacy and data

  • Model traffic: Pi builds each model request from the system prompt, active branch, available tools and model settings, then sends it through the provider you selected. The pages reviewed do not address whether that data is used for model training.
  • Install telemetry: the enableInstallTelemetry setting defaults to true and enables anonymous install and update reporting plus selected provider attribution headers.
  • Analytics: enableAnalytics defaults to false; it is an opt-in data-sharing setting currently used only by the experimental first-run setup.
  • Network switches: PI_OFFLINE disables automatic network activity, including model catalog refreshes, and PI_TELEMETRY overrides the install telemetry and attribution headers.
  • Local sessions: sessions are stored under ~/.pi/agent/sessions/ by default, grouped by working directory, and --no-session runs an ephemeral session.
  • Sharing: /share uploads a session as a Radius artifact when Radius authentication is configured, otherwise as a private GitHub gist, and shared or exported sessions can contain prompts, tool arguments, command output and file contents.
  • Credentials: auth.json can hold API keys and OAuth tokens, and uninstalling Pi does not remove configuration, credentials, sessions or installed packages from ~/.pi/agent/.

In the pages checked for this review, pi.dev did not publish a separate privacy policy or terms of service.

FAQ

Q1. Is Pi Coding Agent free?

Pi itself showed no price or plan, and its core is MIT licensed. What you pay depends on the model provider or subscription you connect. Earendil has said that some future additions around Pi may be Fair Source or proprietary.

Q2. Do I need an API key to use Pi?

No. A supported subscription through /login, a provider API key, a local GGUF model through the llama.cpp router, or a compatible endpoint such as Ollama all work.

Q3. Does Pi support MCP servers?

Not in the core. The project suggests CLI tools documented as skills, or an extension that adds MCP support, and packages from the catalog can provide it.

Q4. Does Pi collect telemetry?

Anonymous install and update reporting is on by default and can be turned off with the enableInstallTelemetry setting or the PI_TELEMETRY variable. Broader analytics sharing is off unless you opt in.

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