Openclaude
Open-source coding agent CLI for any model in your terminal
Openclaude is the pick for developers who want a model-agnostic, scriptable coding agent with real tool access and full transparency. It stands apart from IDE-integrated assistants like Cursor or GitHub Copilot by giving you a terminal-native loop with live tool calls and session branching. Skip it if you need a GUI or prefer an IDE-integrated assistant. The continuous updates—repo maps, LSP diagnostics, session branching—show active development, but it's a terminal tool, so comfort with CLI is a must.
Verified 6d ago · liveness 76/100 · cite: rightaichoice.com/tools/openclaude
- Developers wanting a terminal-native coding agent with full control
- Teams seeking model-neutral automation in CI/CD pipelines
- Engineers running local models like Ollama or LM Studio
- Users who need scriptable, non-interactive agent workflows
- Non-technical users seeking a GUI or chatbot interface
- Developers who prefer full IDE integration over terminal
- Users needing a hosted/cloud-managed agent (self-hosted CLI only)
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Skip Openclaude if you need a GUI, prefer an IDE-integrated assistant, require a hosted/cloud-managed agent, or aren't comfortable with the command line—it's a terminal-native tool that expects Node 22+.
You bring your own API keys for cloud providers, so you pay their usage fees directly—Openclaude itself is free.
Openclaude is free and open-source, so the cost is zero—you only pay for model API usage if you use cloud providers. It's cheaper than hosted agents like Cursor or GitHub Copilot (which charge monthly subscriptions), but those offer convenience and GUI. For budget-conscious, terminal-native developers, Openclaude is the cheapest flexible option that still gives you real tool access and model choice.
In short
Openclaude — Open-source coding agent CLI for any model in your terminal. Best for Developers wanting a terminal-native coding agent with full control, Teams seeking model-neutral automation in CI/CD pipelines, Engineers running local models like Ollama or LM Studio. Free to use.
What's new in Openclaude
Checked 6 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Openclaude — 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.
22 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Supports dozens of model backends including local and cloud providers.
- +Fully open-source and free to use with no hidden costs.
- +Terminal-first workflow with live tool call visibility.
- +Session persistence, resume, and rewind for long coding sessions.
- +Works offline with local models via Ollama or LM Studio.
- −Performance lags behind Claude Code on complex or large tasks.
- −Local model setups often deliver mediocre results compared to cloud APIs.
- −Renaming controversy may confuse newcomers seeking documentation.
- −Terminal-only interface lacks visual diff for non-command-line users.
- −No dedicated support; relies on community GitHub issue tracking.
- • API usage costs: users pay for model inference separately (cloud APIs like OpenAI, Gemini, etc.)
- • Local model hardware costs: running models locally requires a capable GPU and electricity
Viability Score
How well maintained and how widely used is Openclaude? 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
- Interactive agent loop with live tool calls
- File reading and editing with diff review
- Shell command execution from within the agent
- Grep and glob search across codebase
- Provider switching via /provider
- Non-interactive --print mode with JSON and stream-json output
- Session persistence, resume, branch, and rewind
- Background tasks and worktree isolation
- Repo map codebase intelligence (v0.23.0)
- LSP diagnostics exposed to agent (v0.22.0)
- Buddy pixel-art companions (v0.25.0)
- GPT-5.6 family models via Codex (v0.25.0)
- Tool allowlists, budgets, session control
- Per-repo configuration for model, base URL, auth
- Skills system for custom agent behaviors
About Openclaude
Openclaude is an open-source coding agent that runs in your terminal and works with any AI model you choose. It's not a chatbot wrapper or an IDE plugin—it's a CLI-first agent loop where you can watch the agent read files, run shell commands, grep and glob across your codebase, and edit code with changes always kept reviewable. Built for developers who want transparency and control, it lets you see every tool call in real time, switch providers mid-session with a single command, and script non-interactive workflows with JSON output. Openclaude supports a wide range of backends, including OpenAI, Google Gemini, Grok, Ollama, GitHub Models, OpenRouter, DeepSeek, Kimi, GLM, Mistral, LM Studio, Cloudflare Workers AI, NVIDIA NIM, Amazon Bedrock, Vertex AI, and any OpenAI-compatible endpoint—200+ models total. You can run it locally with Ollama or LM Studio, or connect to cloud gateways like OpenRouter or CLinePass. Recent releases added GPT-5.6 family models via Codex (v0.25.0), repo map codebase intelligence, LSP diagnostics, session branching and rewinding, background tasks, and a pixel-art 'buddy' companion that gamifies your prompts—all while keeping the core loop fast and scriptable. Installation is a single npm command, and it runs on Node 22+ across Windows, macOS, and Linux. Openclaude is maintained by gitlawb and developed openly on GitHub. For developers who prefer terminal-native workflows and want to avoid vendor lock-in, it's a practical alternative to hosted coding agents or IDE-integrated assistants. It's free and open source, so you can inspect the code, contribute, and customize it to fit your workflow.
Behind the Verdict
Openclaude fills a specific niche: developers who live in the terminal and want a coding agent that doesn't lock them into a single model vendor or a heavyweight IDE. Its core strength is the agent loop—you watch every tool call (file reads, greps, bash commands) in real time, and every edit is presented as a reviewable diff. That transparency is hard to find in commercial agents. The provider flexibility is the other standout. You can switch from local Ollama to a cloud gateway like OpenRouter mid-session with /provider, which makes it trivial to A/B test models without changing your workflow. The recent addition of GPT-5.6 family via Codex keeps it current. For teams already standardized on a model, per-repo profiles mean every clone boots with the same runtime config. Weaknesses: it's CLI-only, so there's a learning curve; you manage your own Node installation. There's no hosted version, so you handle updates and configuration. Non-technical users should look elsewhere, as should anyone who wants deep IDE integration without terminal. But for the target audience—terminal-native, automation-minded developers—Openclaude is a robust, free, and open alternative that respects your choice of model.
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Real-world workflow fit
Concrete scenarios for the personas Openclaude actually fits — and what changes day-one when you adopt it.
You want to add a feature to your codebase but aren't sure which model is best for the task.
Outcome: You start openclaude in your repo, use /provider to switch from local Ollama to OpenAI, watch the agent loop through reads and edits, review the diff, and accept the changes—all without leaving the terminal.
You need to automate code reviews in CI/CD and want a model-agnostic tool.
Outcome: You set up openclaude's --print mode with JSON output to run automated reviews on each pull request, with tool allowlists to restrict shell commands, and get consistent results without a GUI.
You want your team to use the same model configuration across all repos.
Outcome: You create a per-repo profile that specifies the model, base URL, and auth, so every developer who clones the repo gets the same runtime defaults—reducing configuration drift.
Use Cases
- Install globally with npm and run in any git repo for interactive coding sessions
- Switch model providers mid-session with /provider to test different backends
- Use --print mode to integrate into CI/CD pipelines for automated code reviews
- Persist and resume sessions with branching to explore multiple solution paths
- Configure per-repo profiles for consistent team model and runtime settings
- Run /bughunter for security and performance audits
- Run background sessions to let the agent work while you keep typing
- Hatch a /buddy companion to gamify prompts with zero token cost
Models Under the Hood
as of 2026-09-01
Limitations
- Openclaude is a CLI tool that runs in the terminal, which may be less accessible for users who prefer graphical interfaces.
- Installation requires npm (Node.js environment), and there is no hosted/cloud-managed option, so you manage your own installation and configuration.
- It is designed for developers who are comfortable with command-line interfaces and configuration.
- The documentation is minimal, with links to GitHub for full details.
as of 2026-08-31
Verification history
We have re-verified Openclaude 5 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
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 Openclaude tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Any developer or team that wants a free, self-hosted, model-agnostic coding agent without paying per-seat or per-usage fees.
What this tier adds
This is the only tier—free and open source, including the full agent loop, 200+ models, --print mode, session branching, and MCP support.
Where the pricing makes sense
The company stage and team size where Openclaude's pricing actually pencils out — and where peers do it cheaper.
Openclaude is free and open-source, so the cost is zero—you only pay for model API usage if you use cloud providers. It's cheaper than hosted agents like Cursor or GitHub Copilot (which charge monthly subscriptions), but those offer convenience and GUI. For budget-conscious, terminal-native developers, Openclaude is the cheapest flexible option that still gives you real tool access and model choice.
Setup time & first value
How long it actually takes to get something useful out of Openclaude — broken out by persona, not the marketing-page minute.
For a developer comfortable with npm: install takes under a minute, and you can run openclaude in a repo and start your first session in under 5 minutes. For CI/CD integration, expect 15-30 minutes to script --print mode, set allowlists, and test in a pipeline. For those new to CLI tools, budget an hour to learn the commands and configuration.
Switching to or from Openclaude
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Copilot CLI: run `npm install -g @gitlawb/openclaude` and use /provider to connect to your existing model backend; you keep the same terminal workflow.
- →From a custom script: point openclaude to your repo and use --print mode with JSON output to replace your ad-hoc automation.
- ↗To Cursor: export your session history (if needed) and manually set up your models in Cursor's settings.
- ↗To a hosted agent like GitHub Copilot: leave openclaude's CLI behind and use the IDE plugin for a graphical experience.
Integrations
Resources & Guides
- Documentationopenclaude.gitlawb.com
Docs · Openclaude
Full product docs from openclaude.gitlawb.com
- Documentationopenclaude.gitlawb.com
Providers · Openclaude
Full product docs from openclaude.gitlawb.com
- Documentationopenclaude.gitlawb.com
Slash Commands · Openclaude
Full product docs from openclaude.gitlawb.com
- Documentationopenclaude.gitlawb.com
Configuration · Openclaude
Full product docs from openclaude.gitlawb.com
Tutorials & Learning
Official links
Tools that pair well with Openclaude
Common stack mates teams adopt alongside Openclaude, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Openclaude vs Poolside Ai
For enterprises in regulated industries needing auditable, sovereign AI agents, Poolside AI is the clear choice despite its high cost and vendor lock-in. For developers who want a free, model-agnostic, transparent terminal agent, openclaude is unbeatable. Your decision hinges on whether you need governance or flexibility.
Openclaude vs Cognition Ai
Choose Cognition AI if you are an enterprise team needing an autonomous agent with a productivity guarantee and support for legacy codebases. Choose Openclaude if you want a free, open-source, model-agnostic terminal agent that gives you full control and works with your existing models.
Openclaude vs Bito
Choose Bito if you're a team managing multiple repositories and need architectural context for AI coding agents in Cursor/Claude Code, especially for enterprise compliance. Choose Openclaude if you're an individual developer who wants a free, model-agnostic CLI agent with full control and local model support, and don't need multi-repo awareness.
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Frequently Asked Questions
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