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When you connect a repository, it is cloned into a dedicated space using your project ID as the repository identifier (repo_id). This makes code accessible to AI data agents working on your mission.

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Easy repository connection

1

Streamlit

Go to the Streamlit GUI to set configurationsGitConfig 1 Pn
2

Custom Endpoints Screen

Scroll down until you see Custom Endpoints Click on Custom EndpointsGitConfig 2 Pn
3

Enter Endpoints

  • github.com:443
  • api.github.com:443
  • github.githubassets.com:443
4

Add Them Individually

Add all endpoints one at a time:Git 1 PnGit 2 PnGit 3 Pn
5

Connect

Once all are added, Click Connect.Git 4 Pn
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Assign to Genesis

Click Assign to GenesisGit 5 Pn
7

Github EAI Setup Completed

Git 6 Pn

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Purpose

When creating a new project, you can connect a GitHub repository to enhance your mission’s capabilities. You have three options:
  • Leave it unconnected
  • Attach an existing repository from GitHub
  • Create a brand new repository specifically for your project
When you connect a repository, the system will clone it into a dedicated space using your project ID as the repository identifier (repo_id), making the code accessible to your AI data agents. For private repositories, provide your GitHub credentials (username and personal access token) either by configuring them beforehand through agent chat conversations, or directly in the Create mission modal during project setup. The cloning process requires these credentials to be available at mission creation time.
The following example shows that this can also be done directly in Slack
Git 22 Pn

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Clone repository and enable indexing

Once your GitHub credentials are configured, you can clone repositories and enable AI-powered indexing.

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Clone a repository

Ask your Genesis data agent to clone a repository
Clone this repository for my project Repository URL: https://github.com/tiangolo/fastapi.git
Project ID: fastapi_example Example result Git 7 Pn Git 8 Pn

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AI indexing

The agent automatically:
  • Creates document index: fastapi_example
  • Recursively indexes all repository files
  • Enables AI-powered search across the entire codebase

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Search your indexed repository

Once your repository is indexed, you can perform intelligent searches across all files and documentation.

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Basic search queries

Ask your Genesis data agent to search your repository
Search my fastapi_example repository for “FastAPI application” Example Result Git 9 Pn Git 9.5 Pn Git 9.6 Pn Git 10 Pn

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Code-specific searches

Ask your Genesis data agent to search for specific programming patterns
Search my fastapi_example repository for “async def route handler” Example results Git 11 Pn Git 12 Pn Git 13 Pn Git 14 Pn

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Search capabilities

  • Natural language queries
  • Relevance scoring to find the most relevant content
  • Multi-file search spanning code, docs, tests, and configuration
  • Context-aware results with file paths and metadata

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Search tips

  • Use specific terms: “dependency injection”, “authentication”, “database models”
  • Ask conceptual questions: “how to handle errors”, “API documentation setup”
  • Search by file types: “test examples”, “configuration files”

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Read and edit cloned files

Once your repository is cloned, you can read existing files and create new ones directly through Genesis agents.

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Reading existing files

Ask your Genesis data agent to read any file from your repository
Read the pyproject.toml file from my fastapi_example repository Example result Git 15 Pn Git 16 Pn Git 17 Pn

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Creating new files

Create custom files in your repository
Create a new FastAPI example file called custom_example.py with Custom API endpoints, Pydantic models, and error handling Example result Git 18 Pn Git 19 Pn Git 20 Pn

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Editing and version control

Commit your changes to maintain version history
Commit my changes with message “Add custom FastAPI example for documentation” Example result Git 21 Pn

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File operations available

  • Read any file: configuration, source code, documentation, tests
  • Create new files: add custom implementations, examples, configurations
  • Edit existing files: modify code, update documentation, fix bugs
  • Commit changes: maintain version history with meaningful messages
  • Branch management: create feature branches, switch contexts
  • View file status: see what’s changed, staged, or committed

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Automatic content indexing and search

When indexing is enabled, the system builds a searchable document index using your project ID as index_id. Your code, docs, and other repo files become discoverable to Genesis’s AI data agents. Beyond cloning, enabling indexing lets you:
  • Ask data agents questions about your code
  • Search for specific functions or files
  • Get intelligent insights without manually uploading files
Data agents can analyze code patterns, explain functionality, help with debugging, and provide context-aware assistance based on your actual repository contents — useful for code reviews, documentation tasks, or any project that needs deep understanding of your codebase.
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