For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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User GuideDeveloper GuidesAPI Reference
User GuideDeveloper GuidesAPI Reference
  • Getting Started
    • What is Runtype?
    • Creating your account
    • Platform Keys vs. BYOK
    • Understanding the Runtype UI
    • Quickstart: Social Media Post Generator
    • Quickstart: From Agent to Chat Widget
  • Dashboard
    • What is the Dashboard?
    • Daily Executions
  • Playground
    • What is the Playground?
  • Products & Surfaces
    • What are Products?
    • What are Surfaces?
    • Creating a Product
    • Setting up a Chat Surface
    • Setting up an API Surface
    • Setting up an MCP Surface
    • Setting up an A2A Surface
    • Setting up a Slack Surface
    • MCP authentication
    • Authenticating with product API keys
    • Embedding the chat widget (script tag)
    • Embedding the chat widget (React)
    • Surface orchestration modes
    • Product views
    • Adding Capabilities to a product
    • Connecting external agents
    • How A2A works
    • Connecting to Cursor / VS Code
    • Connecting to Claude Desktop
    • Scoping API keys to capabilities
    • Auto-generated OpenAPI spec
    • Calling your API endpoints
    • Client tokens and domain restrictions
    • AI-powered theme generation
    • Widget theming and customization
    • Product versioning and status
  • Flows
    • What are Flows?
    • Creating and Editing Flows
    • Flow step types overview
    • Agent and Flow Templates
    • Using prompt steps
    • Using transform-data steps
    • Using conditional steps
    • Using fetch-url and api-call steps
    • Using record steps (upsert/retrieve)
    • Flow variables and templates
    • Flow versioning and publishing
    • Running flows in batch
    • Handling batch failures
    • Debugging flows
  • Agents
    • What are Agents?
    • Creating and configuring Agents
    • Agent tools
  • Records
    • What are Records?
    • Creating and managing records
    • Using records in flows
    • Filtering and searching records
  • Tools
    • What are Tools?
    • Built-in Tools
    • Creating custom tools
    • Creating external tools
    • Runtime tools
  • Evals
    • What are Evals?
    • Running an Eval
    • Interpreting eval results
  • Schedules
    • What are Schedules?
    • Automating batch processing
  • Logs
    • What are Logs?
    • Working with Logs
  • Integrations
    • Connecting AI model providers
    • Slack integration
    • Google Workspace integration
    • GitHub integration
    • Linear integration
    • Weaviate (vector search)
    • Firecrawl (web scraping)
    • Exa (web search)
  • Settings
    • What's in Settings?
    • Available AI models
    • What are Organizations?
    • Managing AI models
    • Managing API keys
    • Billing and plans
    • Usage data
    • Team members and permissions
    • Appearance and preferences
    • Integrations (PostHog, Weaviate, Daytona)
  • Troubleshooting & FAQ
    • FAQ
    • Rate Limits and Usage
    • Managing Runtype with Claude
    • Flow execution failures
    • Common errors and solutions
    • Authentication issues
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On this page
  • Setting up GitHub
  • Available tools
  • Repositories
  • Issues
  • Pull requests
  • Files
  • Use cases
  • Disconnecting GitHub
  • Next steps
Integrations

GitHub integration

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Connect GitHub to let Agents create issues, manage pull requests, read files, and interact with repositories. GitHub is available as a set of Agent tools, not as Flow steps.

Setting up GitHub

  1. Go to Settings → Integrations
  2. Find GitHub
  3. Click Configure
  4. Create a Personal Access Token in GitHub (Settings → Developer Settings → Personal Access Tokens)
  5. Paste the token into the credentials form
  6. Click Save

The token needs repo scope for full repository access, or public_repo for public repositories only.

Available tools

Once connected, the following tools are available to Agents:

Repositories

  • list_repos — List repositories for the authenticated user or an organization
  • get_repo — Get details of a repository

Issues

  • create_issue — Create a new issue (with labels, assignees, milestones)
  • list_issues — List issues with state, label, and assignee filters
  • update_issue — Update an existing issue

Pull requests

  • create_pull_request — Create a new pull request
  • list_pull_requests — List pull requests with state and branch filters
  • get_pull_request — Get details of a pull request
  • create_pr_comment — Add a comment to a pull request

Files

  • get_file_content — Read a file from a repository (supports branch/tag/SHA refs)
  • search_code — Search for code across GitHub repositories

Enable these tools when configuring an Agent.

Use cases

  • Bug tracking: Auto-file issues from error reports
  • Code review: Comment on pull requests
  • Documentation: Create issues for missing docs
  • Release automation: Update issues when deploying

Disconnecting GitHub

  1. Settings → Integrations → GitHub
  2. Click Disconnect

Next steps

  • Linear integration for project management
  • What are Agents? to build Agents that use GitHub tools