GakrCLI: A Terminal Programming Assistant That Brings Claude Code Workflows to Multi-LLM Platforms

GakrCLI is a terminal-first programming assistant CLI. Its core value lies in extending the powerful workflows of Claude Code to multi-LLM platforms. It addresses the limitation of Claude Code being restricted to Anthropic models, supporting tool calling, streaming responses, file operations, the MCP protocol, and multi-step Agent reasoning. This allows developers to flexibly choose underlying LLM models (such as OpenAI, Google, open-source models, etc.) while maintaining a familiar interactive experience.

In the field of AI-assisted programming, Claude Code has become a top choice for developers due to its multi-step reasoning capabilities and deep code understanding. However, it is limited to Anthropic's Claude models, which restricts the need to use other LLM providers. GakrCLI fills this gap. As a terminal-first tool, it extends the core workflows of Claude Code to multiple LLM platforms, supporting features like tool calling and streaming responses, allowing developers to flexibly choose models while maintaining a familiar interactive experience.

Terminal-First Design

All interactions are done via the command line, adapting to SSH sessions, Docker containers, or remote server scenarios.

Multi-LLM Provider Support

Covers OpenAI (GPT-4 series), Anthropic (Claude series), Google (Gemini series), and open-source models (access Llama/Qwen etc. via OpenRouter). You can choose the appropriate model based on the task.

Tool Calling Capabilities

Supports reading/editing files, executing commands, searching code, etc., enabling the Agent to interact with codebases like human developers.

Streaming Responses and MCP Protocol

Displays the model's thinking process in real time, and supports the MCP protocol to connect external data sources, development tools, and internal enterprise tools.

Multi-Step Agent Reasoning

Independently plans task steps, clarifies requirements, adjusts strategies, and summarizes changes—balancing autonomy and interactivity.

Rapid Prototyping

Generate project skeletons, install dependencies, implement core functions, and run tests based on natural language—completing a runnable prototype in minutes.

Legacy Code Maintenance

Analyze project structure, identify key modules, explain logic, generate comments, and provide refactoring suggestions—reducing the cognitive burden of maintenance.

Cross-Language Development

Unified interactive interface supporting multi-language collaboration (Python/React/Rust etc.), maintaining consistent code style and quality standards.

Feature	GakrCLI	Claude Code
Model Selection	Multi-provider	Claude-only
Terminal Experience	Natively supported	Natively supported
Tool Calling	Fully supported	Fully supported
MCP Protocol	Supported	Supported
Streaming Responses	Supported	Supported
Open Source License	MIT	Proprietary
GakrCLI's core advantages lie in multi-model support and the MIT open-source license, avoiding vendor lock-in and allowing free modification and distribution.

Limitations

• Feature Maturity: Some advanced features are still under development.
• Model Capability Differences: Different LLMs have varying code understanding abilities; expectations need to be calibrated when switching.
• Configuration Complexity: Requires managing multiple API keys and configurations.

Suggestions

Start with familiar models when first using it, and gradually explore the characteristics of different providers.

GakrCLI represents the open and flexible direction of AI-assisted programming tools, suitable for developers who want to break free from single-vendor lock-in or need to switch models. As LLM capabilities improve and costs decrease, terminal programming assistants will become standard in toolchains, and GakrCLI makes this future more accessible.