by can1357
⌥ Coding agent with the IDE wired in
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# Add to your Claude Code skills
git clone https://github.com/can1357/oh-my-piGuides for using ai agents skills like oh-my-pi.
Last scanned: 4/21/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-21T06:04:12.172Z",
"semgrepRan": false,
"npmAuditRan": false,
"pipAuditRan": true
}The most capable agent surface that ships. Continuously tuned by real-world use — complete out of the box, open all the way down.
60+ providers · 31 built-in tools · 14 lsp ops · 28 dap ops · ~80k lines of Rust core.
[!NOTE] Pull requests are temporarily open to everyone as a trial. We previously required a vouch before accepting PRs; that requirement is lifted for now while we evaluate how open contributions go. Depending on the results, the vouch system may return.
macOS · Linux
curl -fsSL https://omp.sh/install | sh
Alpine / musl: the prebuilt musl binary links
libstdc++/libgccdynamically, which stock Alpine does not ship. Install them first:apk add libstdc++ libgcc.
Homebrew
brew install can1357/tap/omp
Bun (recommended)
bun install -g @oh-my-pi/pi-coding-agent
Nix
# Run without installing
nix run github:can1357/oh-my-pi
# Or install into the active profile
nix profile install github:can1357/oh-my-pi
Flake consumers can use packages.<system>.omp, overlays.default, nixosModules.default, or homeManagerModules.default. A Home Manager configuration can install OMP and own its settings declaratively:
{
inputs.omp.url = "github:can1357/oh-my-pi";
# In your Home Manager module:
imports = [ inputs.omp.homeManagerModules.default ];
programs.omp = {
enable = true;
settings.startup.quiet = true;
};
}
Windows (PowerShell)
irm https://omp.sh/install.ps1 | iex
Pinned versions (mise)
mise use -g github:can1357/oh-my-pi
macOS · Linux · Windows · bun ≥ 1.3.14
omp generates its own completion scripts for bash, zsh, and fish from the live command/flag metadata, so they never drift from the actual CLI. Subcommands, flags, and enum values complete statically; model names (--model, --smol, --slow, --plan) resolve against the bundled model catalog and --resume against your on-disk sessions.
# zsh — add to ~/.zshrc (or write the output into a file on your $fpath)
eval "$(omp completions zsh)"
# bash — add to ~/.bashrc
eval "$(omp completions bash)"
# fish
omp completions fish > ~/.config/fish/completions/omp.fish
Edits that land on the first attempt. Reads that summarize files instead of dumping their content. Searches that return instantly. Pick any model — omp will get it right.
| model | metric | what |
|---|---|---|
| Grok Code Fast 1 | 6.7% → 68.3% | Tenfold lift the moment the edit format stops eating the model alive. |
| Gemini 3 Flash | +5 pp | Over str_replace — beats Google's own best attempt at the format. |
| Grok 4 Fast | −61% tokens | Output collapses once the retry loop on bad diffs disappears. |
| MiniMax | 2.1× | Pass rate more than doubles. Same weights, same prompt. |
read : summarized snippets · ideal defaults · selector hit rategrep : fastest in the westlsp : everything your IDE knows, the agent knowsprompts : adjusted relentlessly for each modelOriginally built on Mario Zechner's wonderful Pi, omp adds everything you're missing.
Most harnesses give the agent a Python sandbox and call it done. Ours runs persistent Python and a Bun worker, and either kernel can call back into the agent's own tools — read, search, task — over a loopback bridge. The agent loads a CSV with tool.read from inside Python, charts it from JavaScript, and never leaves the cell.

Ask for a rename and you get a rename. The call goes through workspace/willRenameFiles, so re-exports, barrel files, and aliased imports update before the file moves. Everything your IDE knows, the agent knows.

A C binary segfaults: the agent attaches lldb, steps to the bad pointer, reads the frame. A Go service hangs: it attaches dlv and walks the goroutines. A Python process is wedged: debugpy, pause, inspect, evaluate. Most agents are still sprinkling print statements.

Your rules sit dormant until the model goes off-script. A regex match aborts the stream mid-token, injects the rule as a system reminder, and retries from the same point. You get course-correction without paying context tax on every turn. Injections survive compaction, so the fix sticks.
and asking the user to confirm.">
Split a job across workers and get typed results back. task fans out into isolated worktrees, each worker runs its own tool surface, and the final yield is a schema-validated object the parent reads directly. No prose to parse, no merge conflicts between siblings, no orphaned edits.

Watch the fan-out while it runs: Alt+A opens Agent Hub, where the roster shows current activity and usage for every subagent. Open one to read its live transcript, type a steering message, revive a parked worker, or kill a stuck one without aborting the parent session.
Pair a reviewer model to the 'advisor' role and it reads every turn the main agent takes, injecting notes inline — a quiet aside, a concern, or a hard blocker. It runs on its own context and its own model, so it catches what the doer rushed past. The main agent sees the note and course-corrects, or tells you why it won't.

/collab puts your live session on a relay and hands back a link — and a QR. A teammate joins from another terminal with omp join, or just opens it in a browser. Share read-write to pair on the same agent, or /collab view for a read-only link anyone can watch but no one can steer. Frames are sealed client-side; the relay never sees your keys.
![omp TUI: /collab view prints 'Collab
oh-my-pi is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by can1357. ⌥ Coding agent with the IDE wired in. It has 27,202 GitHub stars.
Yes. oh-my-pi passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/can1357/oh-my-pi" and add it to your Claude Code skills directory (see the Installation section above).
oh-my-pi is primarily written in TypeScript. It is open-source under can1357 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh oh-my-pi against similar tools.
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