GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)
Overview
What is GitHub AI Agent?
GitHub AI Agent is an LLM-powered agent designed to facilitate interactions with GitHub through various protocols, leveraging the LangGraph and LangChain frameworks.
How to use GitHub AI Agent?
To use the GitHub AI Agent, set up your environment by configuring Azure OpenAI and GitHub tokens, then run the agent in Docker or locally. You can interact with the agent using a client that connects to the agent's API.
Key features of GitHub AI Agent?
- LLM-powered interactions with GitHub using Azure OpenAI GPT-4.
- Multi-protocol support for integration with external clients (ACP and A2A).
- Comprehensive support for GitHub API operations including repository, issue, and pull request management.
- Secure authentication using GitHub API tokens.
Use cases of GitHub AI Agent?
- Automating repository management tasks.
- Creating and managing issues programmatically.
- Facilitating team collaboration through GitHub API.
FAQ from GitHub AI Agent?
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What protocols does the agent support?
The agent supports ACP and A2A protocols for flexible integration.
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Is the agent secure?
Yes, it uses token-based authentication for secure access to GitHub.
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Can I run the agent locally?
Yes, you can run the agent locally without Docker by following the setup instructions.