Colab Tutorial Notebooks¶
This page collects the official Colab notebooks for EvoAgentX.
Click the Open in Colab badge to launch a runnable copy in your browser.
Tip: Each notebook starts with an installation cell. Run cells in order.
For heavier workloads, you may switch Colab to a GPU runtime (optional).
At a Glance¶
- 7 ready-to-run notebooks covering core usage, workflows, tools, and optimization.
- Zero local install — everything runs in Colab.
- Copy–paste friendly snippets you can reuse in your own projects.
Quickstart¶
• View on GitHub
A minimal, end-to-end tour of EvoAgentX: install, configure, and run a tiny workflow in minutes.
First Agent¶
• View on GitHub
Build your first agent from scratch—key concepts, configuration, and reusable code patterns.
First Workflow¶
• View on GitHub
Compose multiple steps into a reusable workflow: nodes, dependencies, and data flow.
Tools¶
• View on GitHub
Attach and invoke tools (retrieval, compute, external APIs) from agents—plus common pitfalls to avoid.
Benchmark & Evaluation¶
• View on GitHub
Run reproducible evaluations for agents/workflows: datasets, metrics, experiment tracking, and result analysis.
AFlow Optimizer¶
• View on GitHub
Search configuration spaces and auto-tune strategies to improve performance and robustness.
TextGrad Optimizer¶
• View on GitHub
Iteratively refine prompts or policies using TextGrad-style updates—great for complex, evolving tasks.
FAQ¶
Do I need to install anything locally?
No. Everything runs in the browser. Just execute the first installation cell in each notebook.
Is a GPU required?
Not for basic demos. For large models, retrieval, or heavy workloads, enabling a GPU can help.
Can I run the notebooks locally?
Yes. Download the .ipynb
and open it in Jupyter or VS Code. Install dependencies as shown at the top of each notebook.