Installation & Usage
[01]
Install Package
Using uv or pip
BASH
uv pip install airbyte-agent-github
[02]
Import
Initialize and use
PYTHON
from airbyte_agent_github import GithubConnector
from airbyte_agent_github.models import GithubPersonalAccessTokenAuthConfig
connector = GithubConnector(
auth_config=GithubPersonalAccessTokenAuthConfig(
token="<GitHub personal access token (fine-grained or classic)>"
)
)[03]
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@GithubConnector.tool_utils
async def github_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Repositories | [Get](./REFERENCE.md#repositories-get), [List](./REFERENCE.md#repositories-list), [API Search](./REFERENCE.md#repositories-api_search) |\n| Org Repositories | [List](./REFERENCE.md#org-repositories-list) |\n| Branches | [List](./REFERENCE.md#branches-list), [Get](./REFERENCE.md#branches-get) |\n| Commits | [List](./REFERENCE.md#commits-list), [Get](./REFERENCE.md#commits-get) |\n| Releases | [List](./REFERENCE.md#releases-list), [Get](./REFERENCE.md#releases-get) |\n| Issues | [List](./REFERENCE.md#issues-list), [Get](./REFERENCE.md#issues-get), [API Search](./REFERENCE.md#issues-api_search) |\n| Pull Requests | [List](./REFERENCE.md#pull-requests-list), [Get](./REFERENCE.md#pull-requests-get), [API Search](./REFERENCE.md#pull-requests-api_search) |\n| Reviews | [List](./REFERENCE.md#reviews-list) |\n| Comments | [List](./REFERENCE.md#comments-list), [Get](./REFERENCE.md#comments-get) |\n| Pr Comments | [List](./REFERENCE.md#pr-comments-list), [Get](./REFERENCE.md#pr-comments-get) |\n| Labels | [List](./REFERENCE.md#labels-list), [Get](./REFERENCE.md#labels-get) |\n| Milestones | [List](./REFERENCE.md#milestones-list), [Get](./REFERENCE.md#milestones-get) |\n| Organizations | [Get](./REFERENCE.md#organizations-get), [List](./REFERENCE.md#organizations-list) |\n| Users | [Get](./REFERENCE.md#users-get), [List](./REFERENCE.md#users-list), [API Search](./REFERENCE.md#users-api_search) |\n| Teams | [List](./REFERENCE.md#teams-list), [Get](./REFERENCE.md#teams-get) |\n| Tags | [List](./REFERENCE.md#tags-list), [Get](./REFERENCE.md#tags-get) |\n| Stargazers | [List](./REFERENCE.md#stargazers-list) |\n| Viewer | [Get](./REFERENCE.md#viewer-get) |\n| Viewer Repositories | [List](./REFERENCE.md#viewer-repositories-list) |\n| Projects | [List](./REFERENCE.md#projects-list), [Get](./REFERENCE.md#projects-get) |\n| Project Items | [List](./REFERENCE.md#project-items-list) |\n| Discussions | [List](./REFERENCE.md#discussions-list), [Get](./REFERENCE.md#discussions-get), [API Search](./REFERENCE.md#discussions-api_search) |\n| File Content | [Get](./REFERENCE.md#file-content-get) |\n| Directory Content | [List](./REFERENCE.md#directory-content-list) |
Example Prompts
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Show me all open issues in my repositories this month - List the top 5 repositories I've starred recently - Analyze the commit trends in my main project over the last quarter - Find all pull requests created in the past two weeks - Search for repositories related to machine learning in my organizations - Compare the number of contributors across my different team projects - Identify the most active branches in my main repository - Get details about the most recent releases in my organization - List all milestones for our current development sprint - Show me insights about pull request review patterns in our team - List all unanswered discussions in a repository - Show me recent discussions in the General category
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Agent-Native Design
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Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
LangChain
CrewAI
LlamaIndex
AutoGen
OpenAI Agents SDK
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The GitHub connector supports Personal Access Token authentication (both fine-grained and classic tokens) for open source usage. In hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte client ID and client secret instead.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
Currently, the GitHub connector focuses on read operations only. Write operations such as creating issues, updating pull requests, deleting branches, scheduling reviews, or assigning labels are not supported at this time.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Get started in minutes with our open-source connector.