Knowledge that carries forward
Agents that
remember.
Work you can
govern.
AGET brings persistent knowledge, shared memory, and human supervision to repository-based AI agents. Keep context across sessions, coordinate a fleet, and build on the coding assistants you already use.
Your first session
Start with one
local trial.
See how AGET carries context before setting up a fleet. You’ll need Git, Python 3 with pip and venv, and a working coding assistant that can open a local repository.
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Make a local copy
In a macOS or Linux terminal, run the commands below. Use a new folder and keep the default folder name for this trial.
git clone https://github.com/aget-framework/template-supervisor-aget.git cd template-supervisor-aget -
Check the template
From that folder, create an isolated Python environment, install the declared test dependency, and run the checks.
python3 -m venv .venv . .venv/bin/activate python -m pip install -r requirements.txt python -m pytest tests/ -qReady to continue: the test summary shows no failures. Some checks may be skipped. If a check fails or a tool is missing, pause and ask your coding assistant to explain the error before continuing.
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Open your first session
Open this same folder in your coding assistant. Then send this message:
Read AGENTS.md, then wake up. Explain what this template remembers between sessions. Do not change files.What to look for: the wake-up report names
template-supervisor-agetand shows its version. This trial keeps the template’s identity; it is not yet your personalized supervisor.
Your assistant’s installation and account access are separate. Read the template setup guide
Explore AGET