Amp vs Pi Coding Agent (2026)

Choose Amp when you want a managed route from task to isolated remote environment, branch, pull request, and CI follow-up. Choose Pi when you want an MIT-licensed local agent harness whose models, prompts, tools, session logic, and interfaces you can replace. Amp is the better product for delegating software delivery. Pi is the better substrate for building your own coding agent workflow.

That verdict is about workflow ownership, not model quality. We did not run a hands-on benchmark, so this comparison does not claim that either agent writes better code. Both can run in a terminal, edit files, execute shell commands, use several model providers, load project instructions, and be extended. Their defaults differ in what surrounds the agent: Amp provides hosted machines and collaboration; Pi provides source code and primitives.

Amp vs Pi decision matrix

Pick Amp for remote issue-to-PR work

Amp now spans more than a terminal agent. The same thread can run on your machine, on a connected runner, or in an orb: a fresh remote machine containing the repository, development tools, plugins, and thread context. An orb can keep running while your laptop is closed, expose its terminal and files for inspection, and sync changes back to a local checkout with amp sync.

That infrastructure makes Amp the more complete choice for an issue-to-PR coding workflow. Its GitHub App can clone approved private repositories, push as the connected user, open a pull request, and show commit, PR, and CI state in the thread. Amp also documents experimental GitHub event subscriptions that can continue a thread when comments, reviews, or CI results arrive. Pi can reach the same APIs through shell commands or extensions, but the user owns the glue, credentials, execution host, and recovery path.

Amp also gives teams shared threads, multiplayer, shared model routing, and workspace controls. That matters when the artifact under review is not only a diff but the agent's conversation, terminal state, and remote environment. The trade-off is service dependence: Amp manages the identity, thread, routing, and remote-compute layer.

Pick Pi for a small, source-owned harness

Pi keeps the center deliberately small. It offers an interactive terminal, scriptable print and JSON modes, a JSONL RPC protocol, and a TypeScript SDK. Sessions form trees, so you can return to an earlier tool call or message and continue on another branch. You can change models mid-session and connect through API keys, OAuth, local models, or custom providers.

The advantage is control over the agent loop. AGENTS.md and SYSTEM.md shape context; skills and prompt templates add instructions; TypeScript extensions can add tools, commands, providers, UI, or context transforms. Pi packages distribute those pieces through npm or Git. The current core also includes MCP and Codemode, but still omits built-in subagents, plan mode, to-do management, and background Bash. Those omissions are a product choice: install an extension, build the behavior, or keep the core lean.

Choose Pi when you need to embed an agent in another application, test different context strategies, route to local models, or keep the harness inspectable under the MIT license. Do not choose it expecting a hosted fleet, a ready-made mobile review surface, or a supported issue-to-PR control plane.

Neither local default is a security boundary

Amp's documentation says it does not ask for approval before running tools by default. Pi says it can read, modify, and execute with the permissions of the account that launched it and likewise does not prompt for every tool call. Pointing either local process at an untrusted repository while exposing home-directory credentials is a trust decision, not sandboxing.

Amp's concrete isolation advantage is the orb. Each remote task starts in a fresh environment separated from the developer's laptop. Scope the GitHub App to the repositories it needs and review what secrets the orb receives. Amp runners are different: they execute on a machine you control, and shared-runner threads run as the operating-system user that started the runner.

Pi documents several isolation patterns. Running the complete process in Docker or OpenShell contains Pi, built-in tools, extensions, and child processes. Gondolin can instead route built-in tools into a micro-VM while leaving the main Pi process on the host, which is a narrower boundary. A permission-gate extension can improve ergonomics, but it does not replace operating-system isolation.

Pricing and limits

Pricing was verified October 1, 2026. Amp's Hobby tier is free and includes all product features, public and private repositories, BYOK, linked model subscriptions, and self-hosted runners without Amp token fees or limits. Remote orbs are pay as you go on Hobby. Standard orb rates currently range from $0.08 per hour for one CPU and 2 GB of memory to $2.13 per hour for 16 CPUs and 44 GB; billing is by the minute and pauses when the orb sleeps. The $2.13 a1.3xlarge size is restricted to Gigawatt subscribers and Enterprise workspace members.

Amp's Megawatt tier starts at $20 per month and lists 45,000 minutes of orb time. Users can also buy Amp credits for model and non-model tool usage. For individual and non-enterprise workspaces, Amp says those credits are charged at provider API prices without markup. A linked subscription or BYOK route follows that provider's own limits and billing.

Pi itself costs $0 under the MIT license and imposes no task quota. The real bill comes from the selected model provider, subscription, local hardware, gateway, or sandbox. That can be cheaper for a carefully routed local workflow, but “free Pi” does not mean free inference. Compare one representative week by accepted changes, provider spend, compute, failed retries, and review time.

What users report

Community reports support the workflow split but do not establish a quality winner. Reddit user u/treyallday01 described Amp's earlier releases as expensive and uneven, then said the newer ChatGPT integration made their workflow feel more affordable, stable, and reliable. In the same discussion, u/thinksurreal highlighted the continuity between Amp's local and remote work. These are personal reports from one product community.

For Pi, u/ewaldbenes reported longer-lasting token limits, mid-session provider switching, and conversation branching after moving from a vendor-specific CLI. The report covered two weeks of personal use and did not control for repository, model, or task mix. A separate Pi community discussion surfaces the cost of extensibility: u/bobo-the-merciful said confidence in Pi depends partly on confidence as a harness engineer, while u/Total-Sheepherder251 preferred features curated by a product team over assembling and validating extensions.

Those reports describe the purchase decision cleanly. Amp asks you to trust a managed product and pay for remote convenience. Pi asks you to own the configuration and validate the system you assemble.

Practical verdict

• Pick Amp for managed remote execution, cross-device review, team collaboration, and a built-in path from GitHub task to PR and CI follow-up.
• Pick Pi for open-source control, local or custom models, session-tree workflows, embedded agents, and deep modification of the harness.
• Run either local client inside a real sandbox for untrusted or unattended work. Approval prompts are not the deciding control here because neither product uses them as its default boundary.

Compare more products in the AI coding agents guide and CLI coding-agent shortlist. For a repeatable evaluation, use the issue-to-PR workflow and the AI pull-request review guide.

Sources & further reading

• Amp introduction
• Amp pricing
• Amp tools and default approvals
• Amp orbs
• Amp orb sizes and costs
• Amp GitHub and Git integration
• Amp model routing
• Amp free Hobby tier announcement
• Pi product and documentation site
• Pi source repository
• Pi security and permission model
• Pi provider authentication
• Pi isolation options
• Amp user workflow report on Reddit
• Pi user workflow report on Reddit
• Pi extension trade-off discussion on Reddit
• Amp Product Hunt gallery
• Pi Product Hunt gallery