This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: outdated
Apex Engine - Solana AI Agents Creating Framework
Apex is a powerful, modular, and highly extensible framework designed for developers building applications that require a seamless blend of performance, flexibility, and scalability. With Apex, you can harness the power of modern tools to craft cutting-edge solutions across industries.
Contract Address and Development Funding
This project is powered by a single, official smart contract address. Please ensure that you interact only with the following address to avoid fraud or misrepresentation:
Contract Address:
00000000000000000000000000000
All development and maintenance of this project are funded exclusively through the creator's wallet associated with the token.
Key Features
🚀 High Performance
Apex is optimized for speed and efficiency, ensuring your applications run smoothly even under heavy workloads.
⚙️ Modularity
With a modular design, Apex allows you to integrate only the components you need, keeping your applications lightweight and focused.
📈 Scalability
Whether you're starting small or building enterprise-grade solutions, Apex adapts to your needs, growing with your application.
🔒 Security First
Built with security in mind, Apex provides robust tools to safeguard your application and its users.
🧩 Extensibility
Easily customize and expand Apex's functionality with plugins, libraries, and APIs tailored to your project's needs.
Getting Started
First install the package via PyPi.
pip install Apex-agents-py
Then define your agent, give it the tools it needs and run it!
from Apex import CodeAgent, DuckDuckGoSearchTool, HfApiModel
agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
agent.run("Tell me Solana and Bitcoin price in March 2025")
Contributing
We welcome contributions! If you want to report a bug, suggest a feature, or contribute code, please:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Submit a pull request.
How strong are open models for agentic workflows?
We've created CodeAgent instances with some leading models, and compared them on this benchmark that gathers questions from a few different benchmarks to propose a varied blend of challenges.
Citing Apex
If you use Apex in your publication, please cite it by using the following BibTeX entry.
@Misc{Apex,
title = {`Apex`: The easiest way to build efficient solana agentic systems.},
author = {Apexngine inc.},
howpublished = {\url{https://github.com/Apexngine/Apex}},
year = {2025}
}
Metadata
Release files for apex-agents-py 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| apex_agents_py-0.1.3.tar.gz | 71.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| apex_agents_py-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 133.4 kB
Release files / apex_agents_py-0.1.3.tar.gz
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Release files / apex_agents_py-0.1.3-py3-none-any.whl
| Download URL | apex_agents_py-0.1.3-py3-none-any.whl |
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| Tags | Python 3 |
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