| Name | agenterprise JSON |
| Version |
0.1.8
JSON |
| download |
| home_page | None |
| Summary | Generator for AI Environments |
| upload_time | 2025-10-08 10:46:59 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.12 |
| license | None |
| keywords |
ai
agent
mdsd
enterprise
codegen
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Agenterprise
[](https://pypi.org/project/agenterprise/)
[](https://pypi.org/project/agenterprise/)
[](https://github.com/agenterprise/agenterprise/blob/main/LICENSE)
[](https://github.com/agenterprise/agenterprise)
**Agenterprise** is a powerful generator for AI agent environments, enabling rapid prototyping and deployment of agent-based systems in Python. It leverages modern code generation, Pydantic, and DSL-driven workflows to streamline the creation of scalable, enterprise-ready AI solutions.
---
## Features
- Generate complete AI agent environments from a DSL specification
- Supports modern Python (3.12+)
- Produces ready-to-use code, Dockerfiles, and configuration
- Designed for enterprise and MDSD (Model-Driven Software Development) workflows
---
## Installation
### PyPI
```bash
pip install agenterprise
```
### Local
Follow these steps to install it from source
```bash
git clone https://github.com/agenterprise/agenterprise.git
cd agenterprise
pip install .
```
Or, for development:
```bash
pip install -e .
```
## Usage Example
### Create a DSL File
You can either start with a DSL File from scratch (see http://www.agenterprise.ai) or generate a sample file with:
```bash
agenterprise --dsl-template --dsl mydsl.dsl
```
### Generate a project
Whith your created DSL File you can now generate a project:
```bash
agenterprise --code-generation --dsl mydsl.dsl --target target/mydsl
```
---
## Python Compatibility
- Python >= 3.12
---
## License
This project is licensed under the MIT License. See the [LICENSE](https://github.com/agenterprise/agenterprise/tree/master?tab=MIT-1-ov-file#readme) file for details.
---
## Project Links
- Homepage: [https://www.agenterprise.ai](https://www.agenterprise.ai)
- Repository: [https://github.com/agenterprise/agenterprise](https://github.com/agenterprise/agenterprise)
- Issues: [https://github.com/agenterprise/agenterprise/issues](https://github.com/agenterprise/agenterprise/issues)
---
## Author
Michael Vonrueden
Email: [mail@agenterprise.ai](mailto:mail@agenterprise.ai)
---
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