Issue Agent

An AI Agent that quickly solves simple GitHub issues

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Powered by Large Language Models (LLMs).

When a developer creates an issue in a repository and passes to this agent, it autonomously works to solve the issue and submits its results as a Pull Request on GitHub.

Design

• Data transmission is limited to the LLM provider and GitHub only
• Only execution of predefined tools is allowed, not arbitrary shell execution

Quick Installation & Usage

Installation

• Your Machine
• GitHub Action

Usage

CLI

issue-agent help

$ issue-agent create-pr clover0/example-repository/issues/123 \
  --base_branch main \
  --model claude-3-7-sonnet-20250219

GitHub Action

1. Set up the workflow file in your repository.

name: Run Agent

on:
  issues:
    types:
      - labeled

  create-pr:
    if: ${{ github.event.label.name == 'run-agent' }}
    name: Create PR
    runs-on: ubuntu-latest
    steps:
      - name: Install Issue Agent
        uses: clover0/setup-issue-agent@v1

      - name: configure aws credentials
        uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 # 4.0.2
        with:
          role-to-assume: "arn:aws:iam::<AWS-ACCOUNT>:role/<ROLE-NAME>"
          role-session-name: run-agent-${{ github.run_id }}
          aws-region: "<AWS-REGION>"

      - uses: actions/create-github-app-token@c1a285145b9d317df6ced56c09f525b5c2b6f755 # v1.11.1
        id: app-token
        with:
          app-id: ${{ secrets.TOKEN_APP_ID }}
          private-key: ${{ secrets.TOKEN_APP_PRIVATE_KEY }}

      - name: Run Issue Agent Action
        run: |
          issue-agent create-pr ${GITHUB_REPOSITORY}/issues/${{ github.event.issue.number }} \
                    --base_branch master \
                    --model us.anthropic.claude-3-7-sonnet-20250219-v1:0 \
                    --aws_region us-east-1
        env:
          GITHUB_TOKEN: ${{ steps.app-token.outputs.token }}

See setup-issue-agent for more details.

2. Label the issue with run-agent to trigger the workflow.
   In the following example, an issue for refactoring the Terraform code has been created.

3. Issue Agent will create a Pull Request with the solution.

Documentation

Refer to the documentation for more details.

Key Features

• Fully Autonomous

  • Handles simple coding and documentation tasks without human intervention.

• Minimal Configuration

  • Easy to set up: runs locally or via GitHub Actions in minutes.

• Security

  • Limited scope: cannot execute arbitrary or unsafe code (only predefined and controlled functions).
  • Never leak credentials or secrets.

Suitable Use Cases

Issue Agent makes life easier, especially for routine or repetitive tasks:

• Routine Development Tasks (e.g., basic migration, formatting, simple refactoring tasks)
• Documentation Maintenance (generate or update consistently formatted docs)
• Code Cleanup (e.g., batch updates, typo corrections, simple bug fixes)

Supported AI Models

We recommend Anthropic's Claude models for optimal performance:

Provider	Supported Models
OpenAI	gpt-4o, gpt-4o-mini
Anthropic⭐️	claude-sonnet-4-20250514, claude-opus-4-20250514, claude-3-5-sonnet-latest, claude-3-7-sonnet-20250219
AWS Bedrock⭐️	See AWS Bedrock section

AWS Bedrock

The following models are supported.

• claude-sonnet-4 (ModelID = us.anthropic.claude-sonnet-4-20250514-v1:0, Cross-region inference)
• claude-opus-4 (ModelID = us.anthropic.claude-opus-4-20250514-v1:0, Cross-region inference)
• claude-3-7-sonnet (ModelID = anthropic.claude-3-7-sonnet-20250219-v1:0)
• claude-3-7-sonnet (ModelID = us.anthropic.claude-3-7-sonnet-20250219-v1:0, Cross-region inference)
• claude-3-5-sonnet v2 (ModelID = anthropic.claude-3-5-sonnet-20241022-v2:0)
• claude-3-5-sonnet v2 (ModelID = us.anthropic.claude-3-5-sonnet-20241022-v2:0, Cross-region inference)
• claude-3-5-sonnet v1 (ModelID = anthropic.claude-3-5-sonnet-20240620-v1:0)
• claude-3-5-sonnet v1 (ModelID = us.anthropic.claude-3-5-sonnet-20240620-v1:0, Cross-region inference)