Cloving: A Claude Code Alternative for Terminal-First AI Pair Programming

Cloving is an open-source CLI coding agent developed by Cloving AI. It runs entirely in the terminal and generates context-aware code, commit messages, code reviews, and unit tests using any LLM the developer configures — including OpenAI, Anthropic Claude, Google Gemini, and Ollama local models. As a Claude Code alternative, it is best suited for developers who want full control over their AI stack without being locked into a single model or cloud provider.

Cloving is installed via npm (npm install -g cloving) and works in any terminal environment. There is no IDE plugin required: it operates on the command line and integrates into existing shell workflows. The optional Cloving Cloud service adds a private API endpoint for teams, with tiered pricing based on the number of users.

Cloving vs. Claude Code: Quick Comparison

Key Strengths

• Model flexibility: Cloving does not bind you to a single LLM. It supports OpenAI, Claude, Gemini, Ollama, and any compatible API endpoint. Developers can switch models per project or per task, allowing cost optimization and privacy trade-offs that are not possible with Claude Code.
• Local model support: By integrating with Ollama, Cloving enables fully offline code generation with no data leaving the machine. This matters for sensitive codebases, air-gapped environments, and teams with strict data-residency policies.
• Open-source transparency: The entire Cloving CLI is published on GitHub under an open license. Developers can inspect, audit, fork, and extend the tool. There are no proprietary black boxes in the prompt or context pipeline.
• Interactive mode and workflow integration: Cloving supports an interactive chat-like coding session in the terminal, as well as non-interactive scripted workflows. It can generate commit messages and code reviews as part of a Git workflow without switching to a separate interface.
• Unit test generation: Cloving can automatically generate unit tests for existing code, understanding the project context to produce relevant test cases. Claude Code does not expose a dedicated test-generation command in the same way.

Known Limitations

• No built-in IDE integration: Unlike tools such as GitHub Copilot or Cursor, Cloving has no native VS Code or JetBrains plugin. Developers who rely on inline completions and real-time suggestions inside the editor will need to use a different primary coding assistant alongside Cloving.
• Manual LLM configuration: Setting up Cloving requires configuring API keys, selecting models, and optionally running a local Ollama server. This adds initial setup friction compared to Claude Code, which authenticates through a single Anthropic account.
• Smaller community and ecosystem: Cloving is a newer project with a smaller community than Anthropic-backed Claude Code. Plugin and integration support may lag behind more established tools.
• Cloud tier costs add up for larger teams: The Cloving Cloud private endpoint pricing scales with user count. At the Pro tier ($149/mo for up to 37 users), costs are comparable to enterprise SaaS alternatives, and the value proposition depends heavily on the team's LLM usage patterns.

Best For

Cloving is best suited for developers and small teams who prefer working in the terminal, value model independence, or need local-only AI processing. It is a strong fit for backend engineers, DevOps teams, and open-source contributors who want a scriptable AI coding assistant without committing to a single cloud provider's API. Teams with data-residency requirements or cost-sensitive budgets will find the Ollama integration and open-source nature particularly appealing.

Pricing

• Open source (CLI): Free — install via npm install -g cloving; bring your own API keys for any supported LLM.
• Essential (Cloving Cloud): $15/month — private API endpoint, up to 3 users.
• Team: $49/month — up to 12 users.
• Pro: $149/month — up to 37 users.

Prices are subject to change. Check the official site for current details.

Tech Details

• Type: CLI Agent (open source)
• IDEs: Any terminal / editor-agnostic; no native IDE plugin
• Key features: Context-aware code generation, AI commit messages, AI code review, unit test generation, interactive terminal mode, multi-model support, scripted workflow integration
• Privacy / hosting: Local or cloud — depends on the configured LLM. Running with Ollama is fully local. Open-source codebase available for audit.
• Models / context window: OpenAI (GPT-4o, o1, etc.), Anthropic Claude, Google Gemini, Ollama-compatible local models, and any OpenAI-compatible endpoint. Context window size depends on the configured model.

When to Choose This Over Claude Code

• You need to run AI coding assistance fully offline or on-premises using a local LLM via Ollama.
• You want the freedom to switch between multiple LLM providers (OpenAI, Gemini, Claude) without changing your tooling.
• Your organization requires an auditable, open-source codebase for the AI tooling used in development workflows.
• You want automated unit test generation and AI-assisted commit message writing as first-class CLI commands.
• You are cost-sensitive and want to use cheaper or self-hosted models rather than paying Anthropic API rates for every code interaction.

When Claude Code May Be a Better Fit

• You want a deeply integrated experience with Claude's latest models and Anthropic's safety-tuned outputs without configuration overhead.
• Your team is already standardized on the Anthropic ecosystem and values a single-vendor support relationship.
• You need real-time inline completions inside a GUI IDE — Cloving's terminal-only approach does not provide this.
• You prefer a tool with a larger established community, more public documentation, and broader third-party integration support.

Conclusion

Cloving is a compelling Claude Code alternative for terminal-centric developers who prioritize model flexibility and open-source transparency. Its support for local LLMs via Ollama makes it uniquely suited to teams with data privacy constraints or tight API budgets. Developers who want an IDE-integrated experience with inline completions should evaluate Cloving alongside a complementary editor extension.

Sources

• Official Site
• GitHub Repository

FAQ