pi vs oh-my-openagent
Two of the top projects in Coding agents and assistants, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
pi
Terminal coding agent with extensions, skills, and an SDK
oh-my-openagent
Terminal coding agent that fans work out across many models
Verdict
pi ranks higher, 79 to 78. Of the 5 score parts we measure for both, pi leads on 2, oh-my-openagent on 1 and 2 are even.
- Adoptionpi leads by 9 points, 94 to 85.
- FreshnessEven at 100.
- Maintenancepi leads by 12 points, 97 to 85.
- Easy to runEven at 50.
- Agent-readyoh-my-openagent leads by 55 points, 85 to 30: a wide gap.
Pick pi if you are
Developers who want a scriptable, customizable terminal coding agent
- Multiple interfaces: interactive CLI, print/JSON mode, RPC and a TypeScript SDK
- Extensions, skills, prompt templates and themes ship as npm or git packages
Pick oh-my-openagent if you are
Developers wanting a terminal coding agent mixing several model subscriptions
- Splits jobs across many agents and models in parallel with the `mass ulw` keyword
- Memory stored as markdown in a git repo, so it is inspectable and versionable
| What we compare | pi | oh-my-openagent |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 94, widely used | 85, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 97, healthy | 85, healthy |
| Easy to run | 50, easy | 50, easy |
| Agent-ready | 30, minimal | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 115.2k | 70k |
| License | MIT (permissive) | custom license (read the license) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | TypeScript | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
pi
Pi is a TypeScript coding agent CLI that runs in your project directory and connects to LLM providers through a login or API key. It is customized with extensions, skills, prompt templates and themes, shared as npm or git packages, and can be driven interactively, in print/JSON mode, over RPC, or through a TypeScript SDK. The monorepo also ships a multi-provider LLM API, an agent runtime and a terminal UI library.
Who it is for: Developers who want a scriptable, customizable terminal coding agent
Strengths
- Multiple interfaces: interactive CLI, print/JSON mode, RPC and a TypeScript SDK
- Extensions, skills, prompt templates and themes ship as npm or git packages
- Core libraries (pi-ai, pi-agent-core, pi-tui) are published as separate packages
- Installer pins dependencies; Nix flake builds on Linux and macOS, ARM64 and x86-64
Weaknesses
- No built-in permission system; runs with the launching user's full permissions
- Sub-agents and plan mode are intentionally omitted and must be added via packages
- Requires Node.js 22.19 or newer
- New contributors' issues and PRs are auto-closed by default
- no GPU
- Needs Node.js 22.19+, LLM provider API key or subscription
- Models: OpenAI, Anthropic, Google
oh-my-openagent
OmO is an `omo` command-line agent, built on senpi (a fork of pi), that reads a codebase, plans, and verifies each step. Typing `ulw` or `mass ulw` turns a job into a graph of parallel agents, each on a different model. Memory is kept as markdown files in a git repository, and `/login` covers Claude, ChatGPT, Kimi and GLM subscriptions.
Who it is for: Developers wanting a terminal coding agent mixing several model subscriptions
Strengths
- Splits jobs across many agents and models in parallel with the `mass ulw` keyword
- Memory stored as markdown in a git repo, so it is inspectable and versionable
- Native binary installer with checksum verification, plus bun and npm packages
- `omo setup` imports keys, MCP servers and skills from the OpenCode edition
Weaknesses
- License is SUL-1.0, not a standard OSI license; check terms before commercial use
- Primary install path pipes a curl script into bash
- README gives no RAM, token cost or hardware figures
- Computer use is marked experimental
- no GPU
- Needs Model provider subscription or API keys, git (memory repository)
- Models: Claude, ChatGPT, Kimi, GLM
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