luis.erlacher/Archon
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Changing location of new "Updating" section in README

Browse Source
This commit is contained in:
Cole Medin 2025-03-19 07:58:17 -05:00
parent b93cd043ab
commit b0658e27be
1 changed files with 19 additions and 19 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

38
README.md
View File

@ -90,6 +90,25 @@ streamlit run streamlit_ui.py
4. Access the Streamlit UI at http://localhost:8501.
### Setup Process
After installation, follow the guided setup process in the Intro section of the Streamlit UI:
- **Environment**: Configure your API keys and model settings - all stored in `workbench/env_vars.json`
- **Database**: Set up your Supabase vector database
- **Documentation**: Crawl and index the Pydantic AI documentation
- **Agent Service**: Start the agent service for generating agents
- **Chat**: Interact with Archon to create AI agents
- **MCP** (optional): Configure integration with AI IDEs
The Streamlit interface will guide you through each step with clear instructions and interactive elements.
There are a good amount of steps for the setup but it goes quick!
### Troubleshooting
If you encounter any errors when using Archon, please first check the logs in the "Agent Service" tab.
Logs specifically for MCP are also logged to `workbench/logs.txt` (file is automatically created) so please
check there. The goal is for you to have a clear error message before creating a bug here in the GitHub repo
### Updating Archon
#### Option 1: Docker
@ -126,25 +145,6 @@ streamlit run streamlit_ui.py
This ensures you're always running the most recent version of Archon with all the latest features and bug fixes.
### Setup Process
After installation, follow the guided setup process in the Intro section of the Streamlit UI:
- **Environment**: Configure your API keys and model settings - all stored in `workbench/env_vars.json`
- **Database**: Set up your Supabase vector database
- **Documentation**: Crawl and index the Pydantic AI documentation
- **Agent Service**: Start the agent service for generating agents
- **Chat**: Interact with Archon to create AI agents
- **MCP** (optional): Configure integration with AI IDEs
The Streamlit interface will guide you through each step with clear instructions and interactive elements.
There are a good amount of steps for the setup but it goes quick!
### Troubleshooting
If you encounter any errors when using Archon, please first check the logs in the "Agent Service" tab.
Logs specifically for MCP are also logged to `workbench/logs.txt` (file is automatically created) so please
check there. The goal is for you to have a clear error message before creating a bug here in the GitHub repo
## Project Evolution
### V1: Single-Agent Foundation