| Name | langchain-code JSON |
| Version |
0.0.8
JSON |
| download |
| home_page | None |
| Summary | A comprehensive combination of all agentic CLI at one place with 🦜🔗! |
| upload_time | 2025-09-14 20:24:23 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
langchain
agents
cli
llm
coding
devtools
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center">
<img src="https://raw.githubusercontent.com/zamalali/langchain-code/main/assets/logo.png" alt="LangCode Logo" width="160" />
</p>
<h1 align="center">LangCode</h1>
<p align="center">
<em>The only CLI you'll ever need!</em>
</p>
<p align="center">
<img src="https://raw.githubusercontent.com/zamalali/langchain-code/main/assets/cmd.png" alt="LangCode Home Screen" width="100%" />
</p>
[](https://pypi.org/project/langchain-code/) [](https://pepy.tech/project/langchain-code)  [](https://github.com/zamalali/langchain-code/blob/main/LICENSE) [](https://github.com/zamalali/langchain-code/actions/workflows/docker-build.yml) [](https://hub.docker.com/r/at384/langchain-code) [](https://hub.docker.com/r/at384/langchain-code) [](https://hub.docker.com/r/at384/langchain-code/tags) [](https://github.com/psf/black) [](https://pycqa.github.io/isort/)
**LangCode** is the “one-key” developer CLI that unifies **Gemini**, **Anthropic Claude**, **OpenAI**, and **Ollama** with **ReAct** & **Deep** modes—fully inline, right in your terminal.
## Get Started
1. **Installation:**
```bash
pip install langchain-code
```
**Launch the Interactive Launcher:**
Just type `langcode` in your terminal and hit Enter. This opens a user-friendly interactive menu where you can easily configure your session and access various functionalities without needing to remember specific command-line arguments. See the image shown above.
---
## Interactive Mode
The interactive mode serves as the central hub for all your coding tasks. It allows you to:
* **Choose a Command:** Select what you want to do: `chat`, `feature`, `fix`, or `analyze`.
* **Configure the Engine:** Pick between `react` (fast and efficient) and `deep` (for complex tasks).
* **Enable Smart Routing:** Let LangCode automatically select the best LLM for each task.
* **Set the Priority:** Optimize for `cost`, `speed`, or `quality` when using smart routing.
* **Manage Autopilot:** Enable fully autonomous mode for the Deep Agent (use with caution!).
* **Toggle Apply Mode:** Allow LangCode to automatically write changes to your file system.
* **Select an LLM:** Explicitly choose between Anthropic and Google Gemini, or let LangCode decide.
* **Specify the Project Directory:** Tell LangCode where your codebase is located.
* **Edit Environment Variables:** Quickly add or modify API keys and other settings in your `.env` file.
* **Customize Instructions:** Open the `.langcode/langcode.md` file to add project-specific guidelines.
* **Configure MCP Servers:** Set up Model Context Protocol (MCP) servers for advanced tool integration.
* **Edit Language Code:** Modify the core language code directly from the main window.
* **Specify MCP Servers:** Configure Model Context Protocol (MCP) servers for advanced tool integration.
* **Define a Test Command:** Specify a command to run after making changes (e.g., `pytest -q`).
* **Access Help:** Press `h` to toggle help and `q` or `Esc` to quit.
## Core Commands
While the interactive launcher is the recommended way to use LangCode, you can also use the following commands directly from the terminal:
* `langcode chat`: Starts an interactive chat session.
* `langcode feature`: Implements a new feature.
* `langcode fix`: Fixes a bug.
* `langcode analyze`: Analyzes the codebase.
* `langcode instr`: Opens the project instructions file.
---
## Install & Run
```bash
pip install langchain-code
langcode
```
## Contributing
Issues and PRs are welcome. Please open an issue to discuss substantial changes before submitting a PR. See `CONTRIBUTING.md` for guidelines.
## License
MIT. See [LICENSE](LICENSE).
## Acknowledgments
LangCode draws inspiration from the design and developer experience of Google’s Gemini CLI and Anthropic’s Claude Code, unified into a single, streamlined tool.
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