OpenCommit
Open-source git commit message generator CLI that writes conventional commits with any LLM, including local Ollama and llama.cpp models.
For a free MIT tool, OpenCommit covers an unusual amount of ground — eleven named providers, local Ollama and llama.cpp paths, GitMoji, token caps, and a GitHub Action. The interactive confirm step is what keeps it usable day to day, because you catch the occasional vague message before it lands. If commit messages are a chore you keep skipping, this fixes that for the price of an API key or a local model.
Verified 7d ago · liveness 61/100 · cite: rightaichoice.com/tools/opencommit
- Developers who want conventional commit messages without writing them by hand
- Privacy-conscious teams running Ollama or llama.cpp so diffs never leave their network
- Teams standardizing commit format across a repo via a GitHub Action
- Solo devs who keep producing lazy one-line commits
- Anyone wanting a graphical or web interface rather than a terminal command
- Teams that require formal commit message approval before push
- Repos whose commit conventions are in a non-English language
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Skip OpenCommit if you need a graphical interface for managing commits, your team requires multi-step approval workflows before commits land, or you can't use Node.js in your environment.
API usage costs from your chosen LLM provider (OpenAI, Anthropic, etc.) are not included — you pay per token.
OpenCommit is completely free and open-source, so the cost is whatever your LLM provider charges. Compared to commercial commit assistants that charge a monthly subscription, OpenCommit wins on price for any developer or team already paying for an LLM API.
In short
OpenCommit — Open-source git commit message generator CLI that writes conventional commits with any LLM, including local Ollama and llama.cpp models. Best for Developers who want conventional commit messages without writing them by hand, Privacy-conscious teams running Ollama or llama.cpp so diffs never leave their network, Teams standardizing commit format across a repo via a GitHub Action. Free to use.
What people actually say about OpenCommit — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
7 mentions across 2 sources (Hacker News, GitHub) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Generates meaningful commit messages in under 1 second.
- +Supports multiple LLMs: GPT-4, Claude, local Ollama models.
- +Works offline with local models, no API key needed.
- +Enforces conventional commit formatting automatically.
- +Customizable prompts for personalized commit style.
- −Generated commit messages sometimes irrelevant to actual diff.
- −Configuration setup (OCO_OPENAI_*) throws TypeError on some platforms.
- −Prone to 400 errors when committing multiple files.
- −Rate-limited (429) even on small diffs with free API tiers.
- −High number of open issues (195) suggests maintenance gaps.
- • No hidden costs in the tool, but API usage charges from OpenAI/Anthropic/Ollama are borne by the user.
Viability Score
How well maintained and how widely used is OpenCommit? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Generate a conventional commit message from a staged git diff in about a second via the oco command
- Auto-stage unstaged files when oco runs
- Interactive review and edit of the generated message before it commits
- Skip confirmation with the --yes flag for scripted or CI commits
- Support for 11 providers: openai, anthropic, azure, ollama, llamacpp, gemini, flowise, deepseek, aimlapi, openrouter,
- Local LLM execution through Ollama, default model mistral, configurable via OCO_MODEL
- Local GGUF model serving via llama.cpp with a configurable OCO_API_URL
- Point at a remote Ollama or llama.cpp endpoint on another machine with GPUs
- GitMoji emoji insertion with a short 10-emoji set or the full spec via --fgm
- Append a ~3-sentence change description with OCO_DESCRIPTION
- Set max input tokens (default 4096) and max output tokens (default 500)
- Reasoning model support with OCO_REASONING and OCO_REASONING_MAX_TOKENS (default 1000)
- Custom HTTP headers via OCO_API_CUSTOM_HEADERS for enterprise proxies
- Per-repo .env configuration and global ~/.opencommit config storage
About OpenCommit
OpenCommit is a command-line git commit message generator that reads your staged diff and writes a conventional commit in about a second. You run oco, it stages your files if you haven't, drafts the message, and waits for your confirmation. It's aimed at developers who care about git history but not enough to hand-write every message — and at teams that want a uniform commit style across a repo without policing it in code review. Model choice is the real draw. OCO_AI_PROVIDER accepts openai (default), anthropic, azure, ollama, llamacpp, gemini, flowise, deepseek, aimlapi, openrouter, and orcarouter, so swapping a cloud provider for another takes one `oco config set`. If your diffs shouldn't leave the machine, point it at Ollama (default model mistral, or something like llama3:8b) or a llama.cpp server running a GGUF model, and set OCO_API_URL to a box on your network if the GPU lives elsewhere. Beyond the message itself there's a decent amount of tuning. OCO_EMOJI=true adds a short ten-emoji GitMoji set (🐛✨📝🚀✅♻️⬆️🔧🌐💡) chosen to keep token counts down; --fgm opens the full GitMoji specification. OCO_DESCRIPTION appends a ~3-sentence postface explaining the change. OCO_TOKENS_MAX_INPUT (4096 default) and OCO_TOKENS_MAX_OUTPUT (500 default) cap the request, and OCO_REASONING with OCO_REASONING_MAX_TOKENS (1000 default) handles reasoning models. Config lives per-repo in a .env or globally in ~/.opencommit, with OCO_API_CUSTOM_HEADERS for proxy setups and an action.yml for CI. Pricing is the simplest part: MIT-licensed and free, with a GitHub record of 7.5k stars, 761 commits, and a win at the GitHub 2023 hackathon. Commercial commit assistants sell you a fixed model and a dashboard; OpenCommit gives you the provider list and the config file. Pick it if you want commit hygiene with control over where the inference happens.
Behind the Verdict
Commit message quality is one of those things every team says it cares about and almost nobody enforces. OpenCommit is the lowest-friction way I've seen to actually enforce it: run `git add`, run `oco`, get a conventional commit, hit enter. It stages for you if you forget, which sounds trivial until you're three files deep and just want to move on. Pick this when you want the message generation decoupled from any one vendor. The provider list is the selling point — openai, anthropic, azure, gemini, deepseek, openrouter, orcarouter, aimlapi, flowise, ollama, llamacpp. Changing providers is one config line, not a rewrite of your workflow. Pick it too if your diffs are sensitive. Ollama and llama.cpp both work, and OCO_API_URL lets you point at a machine with the GPUs rather than your laptop. That's a genuinely different posture from hosted commit assistants. Pass on it if you want a GUI. This is a terminal tool and the config is environment variables — no dashboard, no per-commit review queue, no approval gate before push. Teams that need sign-off on commit text will find that missing. Also weigh locale. Non-English commit output isn't a documented, tested path here, and the emoji and description behavior is tuned around a conventional-commit English default. If your repo mandates another language, expect to work at it. Versus a hosted alternative, the tradeoff is support and polish for control. You own the API key, the model choice, and the bill (or the local compute). That's a good deal for individuals and small teams; it's a worse deal if you want someone to blame when the message is wrong. One practical caveat: response quality tracks the model. A small local model will produce blander messages than a frontier API model, and token caps set at 4096 input will
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Real-world workflow fit
Concrete scenarios for the personas OpenCommit actually fits — and what changes day-one when you adopt it.
Stage your changes with git add, then run oco in the terminal.
Outcome: Get a conventional commit message in under a second, review it interactively, and commit with confidence.
Set up Ollama locally, pull mistral, and configure OCO_AI_PROVIDER=ollama.
Outcome: Generate commit messages without your code ever leaving your machine, keeping sensitive diffs on-premises.
Add the supplied GitHub Action to your workflow file.
Outcome: Automatically enforce consistent commit message formatting across every pull request and push.
Use Cases
- Auto-generate descriptive commit messages from staged changes before every commit.
- Use local Ollama models to keep all data on-premises while still getting AI-generated commit messages.
- Integrate OpenCommit into a CI/CD pipeline to enforce consistent commit message formatting across a team.
- Switch between GPT-4 and Claude providers to compare commit message quality or manage costs.
- Run OpenCommit in interactive mode to review, edit, or reject AI-suggested messages before committing.
Models Under the Hood
as of 2026-09-23
Limitations
- OpenCommit is a CLI tool that requires Node.js and npm installation.
- It relies on external LLM providers (Claude, GPT, Ollama) for message generation, which may incur API costs or require local model setup.
- The tool is designed for git workflows and may not suit non-git environments.
as of 2026-08-31
Verification history
We have re-verified OpenCommit 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published OpenCommit tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free (open source)
$0
Where the pricing makes sense
The company stage and team size where OpenCommit's pricing actually pencils out — and where peers do it cheaper.
OpenCommit is completely free and open-source, so the cost is whatever your LLM provider charges. Compared to commercial commit assistants that charge a monthly subscription, OpenCommit wins on price for any developer or team already paying for an LLM API.
Setup time & first value
How long it actually takes to get something useful out of OpenCommit — broken out by persona, not the marketing-page minute.
Solo developer: 5 minutes (npm install -g opencommit, set API key, run oco). GitHub Actions user: 10 minutes (add action.yml, configure secrets). Ollama/local user: 15-20 minutes (install Ollama, pull model, set config).
Switching to or from OpenCommit
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CommitGPT: switch to OpenCommit for free, provider-agnostic commit generation; you can use the same LLM API keys.
- ↗To CommitGPT or other commercial tools: export your existing commit conventions and translate configs manually; OpenCommit doesn't export configs.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “OpenCommit”, and we withheld 6: 6 could not be judged, because “OpenCommit” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OpenCommit.
Official links
Tools that pair well with OpenCommit
Common stack mates teams adopt alongside OpenCommit, with the specific reason each pairing earns its keep.
ReadMe
ReadMe is an API documentation platform that turns OpenAPI specs into interactive references, syncs docs with GitHub and GitLab, and uses AI to lint, review,
Wesight
Open-source AI coding agent orchestrator with per-task LLM routing across OpenAI, Anthropic, Gemini, and Ollama.
Claude
Claude is Anthropic's AI assistant for long-document analysis, coding, and agentic work in chat and Cowork.
Featured Head-to-Head Comparisons
Opencommit vs Poolside Ai
For solo devs or small teams seeking a free, lightning-fast commit message generator, OpenCommit is the clear winner. But if you're a regulated enterprise needing secure, auditable AI agents for complex multi-step software tasks, Poolside AI's Laguna models and Platform are built for you—at a price that only makes sense for large organizations.
Opencommit vs Bito
For a solo developer wanting clean git history with zero cost, OpenCommit is the obvious choice. For an enterprise team using AI coding agents across multiple repos, Bito's system-wide context and knowledge graph are indispensable despite higher cost. Choose based on team size and need for cross-repo intelligence.
Opencommit vs Cognition Ai
Choose OpenCommit if you are a solo developer or small team wanting clean commit messages for free, with local LLM option. Choose Cognition AI (Devin) if you are an enterprise needing an autonomous agent that plans, codes, and ships production software end-to-end, backed by a $10M productivity guarantee. They solve completely different problems—commit hygiene vs. full-stack automation.
Alternatives to OpenCommit
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ReadMe
ReadMe is an API documentation platform that turns OpenAPI specs into interactive references, syncs docs with GitHub and GitLab, and uses AI to lint, review,
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