omp vs Repomix
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A terminal coding agent with language-server and debugger tools built in.
Open source · MIT
A command-line tool that packs a whole code repository into one AI-friendly file.
The short answer
Choose omp if you need…
- Developers who want an AI agent working inside a terminal on their own codebase
- People who use multiple model providers and want one tool across them
- Developers debugging native, Go, or Python programs who want the agent to drive a debugger
- Users who want the agent to split larger jobs across parallel subagents
Choose Repomix if you need…
- Developers who want to ask an AI assistant questions about a whole project
- People preparing a codebase for an LLM with a limited context window who need token counts
- Teams that want to review or refactor code with an AI tool using one file as input
- Users who prefer not to install anything by running it with npx
Side-by-side
| omp | Repomix | |
|---|---|---|
| Type | CLI | CLI |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 37.5k | 29.1k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | TypeScript | TypeScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
omp
omp is an open-source coding agent you run from the command line to have an AI model read, search, and edit code in your project. The README says it adds IDE-style features such as language server (LSP) support, a debugger integration, and subagents to a fork of the Pi coding agent. It supports many model providers, and the README claims 60+ providers and 31 built-in tools.
Repomix
Repomix scans a project folder and combines all of its files into a single output file, such as XML, Markdown, or plain text. People use it to give an AI assistant like ChatGPT or Claude the full context of a codebase at once. It respects .gitignore files, can count tokens per file, and uses Secretlint to leave out files that look like they contain credentials.
Best for
omp
- Developers who want an AI agent working inside a terminal on their own codebase
- People who use multiple model providers and want one tool across them
- Developers debugging native, Go, or Python programs who want the agent to drive a debugger
- Users who want the agent to split larger jobs across parallel subagents
Repomix
- Developers who want to ask an AI assistant questions about a whole project
- People preparing a codebase for an LLM with a limited context window who need token counts
- Teams that want to review or refactor code with an AI tool using one file as input
- Users who prefer not to install anything by running it with npx
Strengths
omp
- Broad feature set documented in the README, including LSP, DAP debugging, and subagents
- Works with many model providers rather than a single vendor
- MIT licensed and open source with a public changelog and CI badge
Repomix
- Simple to start: one command, and it can run without installation via npx
- Respects .gitignore, .ignore, and .repomixignore files and offers configurable include and exclude rules
- Provides token counts and multiple output formats (XML, Markdown, plain text)
Not ideal for
omp
- Non-programmers, since it is a developer tool that works in a terminal and on code
- People who need a graphical editor; the README describes a terminal agent, not an IDE replacement
- Teams needing a stable, long-term-supported release, since the README shows a v18.x release and says pull request policy is on trial
Repomix
- Projects that are too large to fit in an AI model's context window, since the single file may exceed it
- Anyone who needs guaranteed secret removal, because it relies on Secretlint pattern matching for known credential formats
- Non-technical users who are uncomfortable using a terminal, unless they use the website or browser extension instead
Trade-offs
omp
- The README's benchmark claims come from the project's own blog and are not independently verified here
- Several features (lsp, dap, subagents, stream rules) add complexity that a newcomer must learn
- Install paths vary by platform, and Alpine/musl users need extra system libraries
Repomix
- A large repository packed into one file can exceed an AI model's context limit
- Secret detection depends on Secretlint's known formats, so it cannot guarantee that no sensitive data is included
- The README is truncated, so some setup details and options may be missing from this summary
Getting started
omp
Install with Bun (recommended)
bun install -g @oh-my-pi/pi-coding-agentInstall with Homebrew
brew install can1357/tap/ompRepomix
Run without installing
npx repomix@latestInstall globally with npm
npm install -g repomixFrequently asked questions
What is the difference between omp and Repomix?
omp: A terminal coding agent with language-server and debugger tools built in. Repomix: A command-line tool that packs a whole code repository into one AI-friendly file. omp suits developers who want an ai agent working inside a terminal on their own codebase, while Repomix suits developers who want to ask an ai assistant questions about a whole project.
Are omp and Repomix free?
omp: Free and open source. Repomix: Free and open source.
Which is easier to set up, omp or Repomix?
Repomix is easier to get started with (rated beginner); omp is rated intermediate and usually needs more setup.
Is omp or Repomix more popular?
omp has more GitHub stars (37.5k) than Repomix (29.1k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to omp and Repomix?
Other options people compare them with include OpenHands, jcode, claude-code-templates, Agent Reach, Codewhale.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.