Openclaude is live · free · last verified 23 Oct 2026 · viability at risk
Openclaude
Openclaude is an open-source terminal coding agent CLI that runs any model, from OpenAI and Gemini to local Ollama, inside your repo.
If owning the model backend matters to you, Openclaude is one of the few terminal agents that treats provider choice as a first-class feature instead of a config footnote. Switching models mid-session and scripting runs with JSON output are the parts we'd actually use daily. It is the wrong pick if you need a GUI, deep IDE integration, or a managed service with a support contract.
Verified 2d ago · liveness 25/100 · cite: rightaichoice.com/tools/openclaude
- Developers who want a terminal-native coding agent with full control of the agent loop
- Teams needing model-neutral, scriptable agent automation in CI/CD pipelines
- Engineers running local models through Ollama or LM Studio
- Builders who want JSON output from non-interactive agent runs
- Non-technical users who need a GUI or chat interface
- Developers who prefer full IDE integration over the terminal
- Teams wanting a hosted, cloud-managed agent instead of a self-installed CLI
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Skip Openclaude if you want a graphical chat interface, an editor plugin, or a hosted agent someone else operates — this is a self-installed terminal CLI for developers who bring their own model credentials.
The CLI itself is open source, but every agent run consumes tokens against whichever provider you wire up, and your provider bill is separate from the tool.
Openclaude is open source, so the software carries no licence fee and the real cost is whatever your model provider charges per token. That puts it below subscription agent tools with fixed seats, and well below hosted cloud-agent platforms that bundle compute and management into a monthly price. The trade is that you supply and manage the model backend yourself.
In short
Openclaude — Openclaude is an open-source terminal coding agent CLI that runs any model, from OpenAI and Gemini to local Ollama, inside your repo. Best for Developers who want a terminal-native coding agent with full control of the agent loop, Teams needing model-neutral, scriptable agent automation in CI/CD pipelines, Engineers running local models through Ollama or LM Studio. Free to use.
What is Openclaude?
Openclaude — Openclaude is an open-source terminal coding agent CLI that runs any model, from OpenAI and Gemini to local Ollama, inside your repo. Best for Developers who want a terminal-native coding agent with full control of the agent loop, Teams needing model-neutral, scriptable agent automation in CI/CD pipelines, Engineers running local models through Ollama or LM Studio. Free to use.
Openclaude is an open-source coding agent CLI you install with one npm line (@twigpine/openclaude, Node 22+). Run it inside any git repo and you get a watchable agent loop: it reads files, greps and globs the codebase, runs shell commands, and produces diffs you review before they land. It is explicitly not a chatbot wrapper or an IDE plugin — the terminal is the interface and the loop is the product. Model-neutrality is the design spine. Wire a provider once with the /provider command and switch mid-session with no rewrites. The site lists OpenAI, Gemini, Grok, Ollama, GitHub Models, OpenRouter, DeepSeek, Kimi, GLM, Cloudflare, NVIDIA NIM, AI/ML API, Groq, Mistral, LM Studio and Xiaomi MiMo, plus Bedrock, Vertex, Codex OAuth and any OpenAI-compatible endpoint — the vendor claims 200+ models. Local runs through Ollama and LM Studio are treated as first-class, not an afterthought. Automation is taken seriously. Non-interactive --print mode emits JSON and stream-json, with tool allowlists, budgets and session control for CI/CD. Per-repo profiles store model, base URL, auth and runtime defaults so every clone boots the same way. Sessions persist and can be resumed, branched or rewound, background tasks run with worktree isolation, and you can drive the agent remotely from your phone. Beyond the loop, MCP servers and a skills system let you define custom agent behaviors, while a repo map and LSP diagnostics feed the agent more context. The v0.25.0 release added GPT-5.6 family models via Codex and a pixel-art buddy companion with seven collectible heroes. It sits apart from hosted agent services: you own the install, the backend and the loop.
Key features
- Interactive terminal agent loop with live, reviewable tool calls
- File reading and editing with visible diffs before you accept
- Shell command execution from inside the agent loop
- Grep and glob search across the codebase
- Provider switching mid-session via the /provider command
- Non-interactive --print mode with JSON and stream-json output for CI/CD
- Tool allowlists, budgets and session control for automation
- Session persistence, resume, branch and rewind
- Background tasks with worktree isolation
- Remote control of the agent from your phone
- Streaming agent output that shows tool calls and diffs live
- Repo map codebase intelligence
- LSP diagnostics exposed to the agent
- MCP server support and a skills system for custom behaviors
- GPT-5.6 family models via Codex (v0.25.0)
Behind the verdict
We'd reach for Openclaude when the terminal is already home and the open question is which model to run. The /provider switch is the real draw: start a task on a local qwen3-coder through Ollama, then flip to a frontier model when the problem gets stubborn, all inside the same session and repo state. The automation story is what separates it from a toy. Non-interactive --print with JSON and stream-json output, tool allowlists and budgets means you can wire it into CI without bolting on a wrapper. Per-repo profiles are the quiet win — a fresh clone boots with the same model, base URL and auth defaults, so a team lands on identical behavior without a README ritual. Pick it if you run local models and want a genuine agent loop around them, or if you want scriptable, reviewable code changes from a CLI you installed yourself. Pass if your team lives in an IDE and wants inline completions — this is not that, and it never claimed to be. Where it bites: Node 22 or higher is non-negotiable, and terminal-native tooling means a comfort with flags, profiles and provider wiring. The buddy pixel-art companions and seven collectible heroes (v0.25.0) are a fun flourish, but they signal the project's tinkerer DNA — expect to read docs, join the Discord, and file the occasional issue. Against a hosted agent service, the tradeoff is obvious: you handle install, updates and provider credentials, and in return you keep the backend freedom and the raw loop. Compared with an IDE-bundled agent, you give up the GUI but gain scriptability and model neutrality. The v0.25.0 GPT-5.6-via-Codex addition keeps it current rather than coasting on its launch feature set.
Models under the hood
as of 2026-10-23
Limitations
- Openclaude is a terminal-based coding agent CLI, so you install it globally via npm and drive it from the command line.
- You bring your own model provider (OpenAI, Gemini, GitHub Models, Ollama, gateways, or any OpenAI-compatible endpoint) and manage provider credentials and per-repo configuration yourself.
- Non-interactive automation requires understanding of --print mode, tool allowlists, and budgets.
- The project is maintained by Twigpine and developed in the open on GitHub, so operational dependency is on an open-source maintainer team rather than a vendor support desk.
as of 2026-10-02
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Is Openclaude still active?
Openclaude is live · free · last verified 23 Oct 2026 · viability at risk.
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: October 2026
How we score →What do users say about Openclaude?
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.
Discussed by users 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
How we verified this
Every listed fact about Openclaude— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Openclaude 9 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.
- — changed website status
- — changed who it suits, who should skip it, summary, our verdict, description, pricing tiers, features
- — changed limitations, pricing page
- — changed website status
- — changed summary, description, features, pricing tiers, who it suits, our verdict, who should skip it
- — changed models, who should skip it, description, our verdict, who it suits, use cases, features, summary, hidden costs, integrations, setup time, limitations, pricing fit, switching in, switching out
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Openclaude cost in 2026?
Openclaude: Free to use. Pricing last verified 23 Oct 2026.
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.
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 open source, so the software carries no licence fee and the real cost is whatever your model provider charges per token. That puts it below subscription agent tools with fixed seats, and well below hosted cloud-agent platforms that bundle compute and management into a monthly price. The trade is that you supply and manage the model backend yourself.
Has Openclaude's pricing changed?
No plan price for Openclaude has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
| Date | Change |
|---|---|
| Pricing page changed, no plan price moved |
Who should pick Openclaude?
Pick Openclaude if you are Developers who want a terminal-native coding agent with full control of the agent loop, Teams needing model-neutral, scriptable agent automation in CI/CD pipelines, Engineers running local models through Ollama or LM Studio, Builders who want JSON output from non-interactive agent runs.
Look elsewhere if you are Non-technical users who need a GUI or chat interface, Developers who prefer full IDE integration over the terminal, Teams wanting a hosted, cloud-managed agent instead of a self-installed CLI, Anyone running a Node version below 22.
Skip it if Skip Openclaude if you want a graphical chat interface, an editor plugin, or a hosted agent someone else operates — this is a self-installed terminal CLI for developers who bring their own model credentials.
Real-world workflow fit
Concrete scenarios for the personas Openclaude actually fits — and what changes day-one when you adopt it.
Installs with npm, runs /provider to point Openclaude at local Ollama running a coder model, then asks it to add retry with backoff to the fetch client.
Outcome: The agent reads the file, greps for the existing helper, edits it, runs the test suite, and surfaces a reviewable diff the developer accepts only after tests pass.
Adds an Openclaude --print invocation to the pipeline with a tool allowlist and a budget, emitting stream-json for the review job.
Outcome: Automated code review runs produce machine-readable agent output, with the allowlist and budget keeping tool use bounded per pull request.
Opens one session, runs a refactor against a cloud model, then uses /provider to switch to a local model and reruns the same task.
Outcome: The developer gets a direct quality-and-cost comparison on identical work without changing tooling or rewriting the prompt.
Use cases
- Install globally with npm and run a watched agent loop inside any git repo
- Switch model providers mid-session with /provider to compare backends on the same task
- Use --print mode with JSON or stream-json output to wire agent runs into CI/CD code review
- Persist, resume, branch, and rewind sessions to explore several solution paths in parallel
- Store per-repo profiles so every clone boots with the same model, base URL, auth, and defaults
- Run background tasks with worktree isolation so the agent works while you keep typing
- Expose LSP diagnostics and repo-map context to the agent for deeper codebase awareness
- Define custom agent behaviors through the skills system and connect MCP servers
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.
Expect roughly 5-10 minutes for a developer already on Node 22+: one npm install, then /provider to wire a backend and credentials. Add another 10-20 minutes if you are setting up a local Ollama or LM Studio model, or configuring per-repo profiles so a team clone boots with the right defaults. CI integration with --print, allowlists, and budgets is a longer task, realistically an afternoon.
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 an IDE-integrated assistant: keep the editor for navigation, and start Openclaude side by side in the terminal to run tasks whose diffs you want streamed and reviewable.
- →From a hosted cloud agent: work through the same tasks locally by installing the CLI and wiring your own provider with /provider, so you control the backend and the credentials.
- →From a single-vendor agent CLI: point Openclaude at the same model first via /provider, then trial a second backend mid-session to compare.
- ↗To an IDE-integrated assistant: there is no plugin to carry over, so you re-establish your prompt and task workflow inside the editor's agent.
- ↗To a hosted agent platform: export the value you got from --print mode by re-implementing those automated runs as platform jobs, since per-repo profiles and session state do not transfer.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 5 videos for “Openclaude”, and we withheld 5: 5 could not be judged, because “Openclaude” 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 Openclaude.
Official links
What are the best Openclaude alternatives?
The closest alternatives to Openclaude we list are CodeWhale, Open Interpreter and Cline. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| CodeWhale | Free | Free | — |
| Open Interpreter | Free | Free | — |
| Cline | Free | Free | — |
Alternatives to Openclaude
View all
CodeWhale
Open-source terminal coding agent that reads your repo, edits files, runs commands, and uses the model you choose.
Open Interpreter
Open Interpreter is an open-source terminal coding agent that reads files, edits code, and runs shell commands from plain English.
Tools that pair well with Openclaude
Common stack mates teams adopt alongside Openclaude, with the specific reason each pairing earns its keep.
CodeWhale
Open-source terminal coding agent that reads your repo, edits files, runs commands, and uses the model you choose.
Open Interpreter
Open Interpreter is an open-source terminal coding agent that reads files, edits code, and runs shell commands from plain English.
Cline
Open-source coding agent that edits files and runs bash commands in your IDE, terminal, or desktop app.
Openclaude vs its closest rival
Openclaude's closest head-to-head is with 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.
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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