A local-first AI agent server powered by GitHub Copilot.
No API keys. No cloud setup. Just your GitHub account.
This is the only step. It installs Python, clones the repo, sets up a venv, authenticates, and launches.
Windows: irm https://raw.githubusercontent.com/kody-w/rapp-installer/main/install.ps1 | iex
Your GitHub Copilot subscription IS the AI engine. No OpenAI keys needed.
The server starts on port 7071 with a chat UI, health endpoint, and agent auto-discovery.
Open localhost:7071 in your browser, or hit the API directly.
Write a soul.md to define its personality. Drop *_agent.py files into the agents folder to give it skills. Point SOUL_PATH and AGENTS_PATH in .env to your private files.
This is the only step. It clones CommunityRAPP, installs everything, and tells you what to do next.
Windows: irm https://raw.githubusercontent.com/kody-w/rapp-installer/main/community_rapp/install.ps1 | iex
Grab the Power Platform solution package from the repo. This .zip contains the declarative agent, connectors, and flows preconfigured for your Azure Function.
Go to make.powerapps.com โ Solutions โ Import โ upload the .zip. This creates the Copilot Studio agent and Power Automate flows in your environment.
Open the imported Power Automate flow and update the HTTP action URL to point to your deployed Azure Function endpoint from Step 2. Add your Function Key if using key-based auth.
In Copilot Studio, publish the agent. Your users can now talk to it in Teams, M365 Copilot, and any channel Copilot Studio supports. Same agent logic you tested locally โ now enterprise-wide.
What you learn: Copilot Studio, declarative agents, Power Platform solutions, Teams integration, enterprise AI deployment.