OpenCode vs Pi: A Ready-to-Use Open-Source Coding Agent vs a Minimal Harness You Build Up
OpenCode
The open-source coding agent for terminal, desktop, IDE and web
Pi
A minimal, extensible, MIT-licensed agent harness for coding and beyond
Verdicts by Task
opencode.ai lists terminal, desktop and IDE surfaces, and the README documents build and plan agents plus a general subagent; Pi's README describes no desktop, IDE or web interface.
Pi omits these by stated design (pi.dev); this is a defaults comparison, not a quality test. Neither tool was tested hands-on by us.
pi.dev lists a TypeScript SDK, RPC, 50+ example extensions, skills and Codemode, and names OpenClaw as a real-world embed.
OpenCode also exposes a headless server and a generated SDK (server docs); we did not compare the depth of the two SDKs.
OpenCode has allow / ask / deny rules with per-agent overrides and denies .env reads by default; Pi's README says it has no built-in permission system.
Most OpenCode permissions default to allow and the page describes no sandbox, so this is a thin lead. Both should run in a VM or container.
OpenCode lists Zen, Go ($10/month), Go Plus ($40/month) and Enterprise per-seat; the Pi pages we read mention no paid plan.
All OpenCode paid layers are optional; Zen card fees are passed along at cost. Scope: pages read; Pi may have offerings we did not see.
Feature Comparison
| Dimension | OpenCode | Pi |
|---|---|---|
| AI-native | AI-Native | AI-Native |
| Self-description and license | opencode.ai: "an open source agent that helps you write code in your terminal, IDE, or desktop"; the GitHub repo page lists the MIT license. | README: "minimal, extensible agent harness that you can make your own"; pi.dev: "a minimal agent harness"; pi.dev shows "MIT License". |
| Interfaces | opencode.ai lists a terminal interface, a desktop application and an IDE extension; the docs home also lists CLI and web. | pi.dev lists four modes: interactive TUI, print/JSON, RPC and SDK. The GitHub README we read describes no IDE, desktop or web interface. |
| Model providers | "75+ LLM providers through Models.dev, including local models"; can also use existing GitHub Copilot or ChatGPT Plus/Pro subscriptions (opencode.ai). | "15+ providers, hundreds of models", naming Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, NVIDIA, OpenRouter and Ollama (pi.dev). |
| Built-in agent modes | README documents build (default, full-access), plan (read-only) and general (subagent); the agents docs list Explore and Scout subagents and custom agents defined in opencode.json or markdown files. | pi.dev: sub-agents are "spawn Pi instances via tmux, or build your own with extensions, or install a package"; plan mode is "write plans to files, or build it with extensions, or install a package". README: "skips features like sub-agents and plan mode". |
| Permissions and sandboxing | Docs: permissions allow / ask / deny, overridable per agent; "Most permissions default to allow", doom_loop and external_directory default to ask, .env reads denied by default. The permissions page does not mention sandboxing. | README: "Pi does not include a built-in permission system for restricting filesystem, process, network, or credential access"; pi.dev: heading "No permission popups" followed by "Run in a container, or build your own confirmation flow with extensions"; the security page says Pi "does not ask for approval before every tool call", acts with the account's permissions, and lists "lack of a built-in sandbox" as outside its security boundary; running Pi "entirely inside a container, virtual machine, or sandbox" is "usually the strongest practical option". |
| Extending and embedding | `opencode serve` runs a headless HTTP server with an OpenAPI 3.1 spec used to generate an SDK; default 127.0.0.1:4096; optional basic auth via OPENCODE_SERVER_PASSWORD (server docs). | pi.dev: TypeScript SDK ("Embed Pi in your apps", OpenClaw cited as a real-world example), RPC over stdin/stdout, 50+ example extensions, skills, prompt templates, Codemode, built-in MCP. |
| Pricing | Free MIT base; optional Zen (pay as you go, card fees passed along at cost), Go $10/month, Go Plus $40/month, Enterprise per seat by quote (opencode.ai/docs/zen/, opencode.ai/docs/go/, opencode.ai/docs/enterprise). Zen docs: "Credit card fees are passed along at cost (4.4% + $0.30 per transaction)". Go docs: "completely optional". | Free MIT; the pages we read mention no paid plan or pricing. |
| Published security advisories (pages read) | GHSA-632h-h47v-g4x4: High, CVSS 7.5, published 2026-09-24; cross-site request to /global/upgrade could install an attacker-chosen package when installed via npm, pnpm or Bun and running `opencode serve`; affected versions believed to span 1.14.30 through 1.18.16 (advisory description); patched 1.18.22; curl, Homebrew, Chocolatey, Scoop installs not affected. | The repo advisories page we read lists four advisories, all published June 8, 2026: Low "Potential XSS in HTML session exports via Markdown URL sanitization bypass", Low "Race condition in Pi auth.json writes could expose stored credentials", High "Predictable temporary extension install paths allow local privilege escalation on shared Linux hosts", Moderate "Pi loads project-local extensions without approval". Patch status not read. |
Both MIT. OpenCode is pitched as a ready coding agent, Pi as a base to build on.
OpenCode covers more surfaces on the pages we read.
Vendor-stated counts are not directly comparable; both reach local models via the pages read.
OpenCode ships them; Pi deliberately does not.
OpenCode has a rule system (mostly permissive by default); Pi has none built in. Neither page we read describes built-in sandboxing of tool execution, so run either in a VM or container.
Both embed; Pi puts extension and embedding at the centre of its design.
OpenCode offers paid layers; Pi shows none on the pages read.
Both have published advisories on the pages read; severities and patch status are not comparable from what we read (Pi patch status and OpenCode's full list not checked).
Still deciding between these two?
Choosing is the easy part. Getting it running inside your business, on your data, with your team using it, is the work. We do both.
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