Oh My Pi and Goose get compared in feature lists that ignore how teams actually work. This page is a decision memo: what each is for, what only one of them does well, and which should be your default.
Oh My Pi is a Terminal agent aimed at Model exploration and experimentation (Free (BYO keys)). Goose is a Terminal agent aimed at Extensible open-source coding agent (Free (BYO keys)).
Quick verdict
Default for most teams reading this angle: Oh My Pi — vision / screenshot understanding. Keep Goose as a specialist when its unique strengths matter.
| Oh My Pi | Goose | |
|---|---|---|
| Type | Terminal agent | Terminal agent |
| Pricing | Free (BYO keys) | Free (BYO keys) |
| Open source | Yes | Yes |
| Best for | Model exploration and experimentation | Extensible open-source coding agent |
| SWE-bench (if published) | - | - |
Feature matrix
| Capability | Oh My Pi | Goose |
|---|---|---|
| Vision / screenshots | Yes | No |
| Cron / scheduling | No | No |
| Multi-provider routing | Yes | Yes |
| Git integration | Yes | Yes |
| Plugins / skills | Yes | Yes |
| Subagents / teams | Yes | No |
| Background tasks | Yes | Yes |
| Local-first | Yes | Yes |
Subagents and parallel work
Oh My Pi subagents: Yes. Goose: No.
Parallelism helps when tasks partition cleanly and each agent has its own worktree. It hurts when two agents thrash the same lockfile or rewrite the same auth module.
If only one tool has subagents, use it for fan-out chores; keep the other for deep single-thread refactors.
Strengths (from product positioning)
Oh My Pi
Pros: Largest model catalog; Vision and browser automation; Daily releases (v16+); LSP integration.
Cons: No built-in cron; Less polished TUI; Rapid changes can break configs.
Goose
Pros: 51K+ GitHub stars; MCP support; Rust-based, fast; Any LLM support.
Cons: No vision support; No subagent system; No built-in cron.
Public adoption signals
Numbers below come from terminalblog’s adoption snapshots (npm/PyPI/GitHub when available). They change; treat them as relative, not marketing.
| Signal | Oh My Pi | Goose |
|---|---|---|
| GitHub stars | 17.6K | 51.1K |
| Commits (30d) | 500 | — |
| npm downloads / week | — | 33 |
| PyPI downloads / week | — | 0 |
Full board: leaderboard.
Install / source paths
Oh My Pi
- Source: can1357/oh-my-pi
Goose
- Source: block/goose
Always confirm install commands on the upstream repo—package names move.
When to choose which
Choose Oh My Pi when
- Your main job is Model experimentation and multi-model workflows
- You need vision / screenshot understanding or subagents / agent teams (which Goose lacks in our matrix)
- You can live with: No built-in cron; Less polished TUI
Choose Goose when
- Your main job is Extensible coding agent with MCP tool integration
- You prefer Goose’s tradeoffs: 51K+ GitHub stars; MCP support
- You can live with: No vision support; No subagent system
Use both when
- Interactive coding and long unattended jobs are different lanes on your team
- You are migrating and need a temporary dual stack
- Compliance needs a local-first path even if daily work is commercial
Three jobs to run before you standardize
- Parallel tickets: fan out lint/docs/tests. Prefer Oh My Pi with separate worktrees. Keep Goose for a single deep refactor.
Record: default tool, specialist tool, and forbidden actions (e.g. no prod deploys without a human). Put that in AGENTS.md.
FAQ
Can I run Oh My Pi and Goose side by side?
Yes. Use separate worktrees or clones so they never write the same files concurrently.
Which is cheaper?
Both pricing lines are above. Model your spike week (tokens × retries × seats). See the pricing guide.
Does SWE-bench decide this?
Oh My Pi has no solid public SWE-bench in our dataset. Goose has no solid public SWE-bench in our dataset. Benchmarks under-predict IDE feel, Windows reliability, and cron ops.
Where next?
Bottom line
Start with Oh My Pi for this decision (vision / screenshot understanding). Keep Goose when you need its unique strengths: specialist workflows. Revisit when pricing, models, or your job mix changes.
Related articles
- Open source vs commercial coding agents: operator fit, not ideology
- Beware: Oh-My-Pi Subagents Can Write Into Your Protected Parent Checkout (Write-Root Not Enforced)
- Claude Code vs Mimo Code: open source vs commercial tradeoffs
Comparing agents is half the work. aiFiesta can simplify multi-model access while you test workflows.
Operator notes that usually get skipped
Permissions: Agents with shell access can delete work as easily as they write them. Prefer clear approval prompts and deny-by-default for network and production credentials. Oh My Pi and Goose both need an explicit policy for force-push, .env reads, and cloud deploys.
Windows vs macOS: Path separators, PowerShell vs bash, and orphaned child processes still decide winners more often than marketing benchmarks. Run the same three jobs on the OS your team ships on before you standardize on Oh My Pi or Goose.
Lockfiles: Never run two agents against the same package-lock / pnpm-lock / Cargo.lock concurrently. That failure mode looks like “the agent is dumb” when it is really shared mutable state. Give Oh My Pi and Goose separate worktrees.
Memory vs amnesia: Oh My Pi is positioned for Model exploration and experimentation; Goose for Extensible open-source coding agent. Long-running memory or knowledge features only pay off if you invest in what they store; otherwise you pay complexity for zero retention.
Escape hatch: Can you export history, pin versions, and keep working if a model vendor deprecates a SKU next quarter? Multi-provider (Yes vs Yes) and open source (Yes vs Yes) matter more here than any single benchmark number.
Team rollout: Pick one default (Oh My Pi), one specialist, document forbidden actions, and revisit quarterly. Tooling churn is faster than most internal standards documents.