# Overcut.ai

## Docs

- [AGENTS](https://docs.overcut.ai/AGENTS.md)
- [How Enterprises Can Adopt AI Developer Tools Successfully](https://docs.overcut.ai/blog/enterprise-ai-developer-tools.md): Challenges, benefits, and best practices for enterprises adopting AI dev tools and how Overcut helps.
- [From Engineering Chaos to Agentic Chaos](https://docs.overcut.ai/blog/from-engineering-chaos-to-agentic-chaos.md): How AI agents are creating a new kind of disorder in the SDLC - and how to turn chaos into collaboration
- [Overcut Blog](https://docs.overcut.ai/blog/index.md): Stay updated with the latest news, features, and insights from Overcut.ai
- [Introducing Overcut](https://docs.overcut.ai/blog/introducing-overcut.md): Automate your SDLC with Agentic Workflows
- [Overcut vs. n8n for Production-Grade Dev Automation](https://docs.overcut.ai/blog/overcut-vs-8n8.md): Ship Faster with Confidence: Overcut vs. n8n for Production-Grade Dev Automation
- [Overcut vs. Copilot, Cursor, and ChatGPT](https://docs.overcut.ai/blog/overcut-vs-copilot-cursor-and-chat-gpt.md): Overcut vs. Copilot, Cursor, and ChatGPT - Choosing the Right AI for Your Dev Workflow
- [The Agentic Software Development Lifecycle](https://docs.overcut.ai/blog/the-agentic-software-development-lifecycle.md): AI made individual developers faster, but software development is still slow, manual, and fragmented at the lifecycle level. The Agentic SDLC is about moving from isolated AI assistance to automated, policy driven workflows with humans in control.
- [The Real Future of AI Development Isn’t a New IDE](https://docs.overcut.ai/blog/the-real-future-of-ai-development.md): While the industry races to redesign the IDE for AI, the actual transformation is happening elsewhere. The future of development depends on redefining the interface where work is planned, coordinated, and approved.
- [Workflows That Remember](https://docs.overcut.ai/blog/workflows-that-remember.md): Workflows That Remember: Building a Self-Improving Automation Engine
- [Core Building Blocks](https://docs.overcut.ai/docs/building-blocks.md): Understand the primitives that power every Overcut automation—Use Cases, Triggers, Actions, and Agents.
- [Product Overview](https://docs.overcut.ai/docs/get-started/product-overview.md): A high-level tour of Overcut and what it can do for you.
- [Repositories](https://docs.overcut.ai/docs/get-started/repositories.md): How Overcut uses repositories, scopes automation, and enables per-repo customization for optimal agent performance.
- [Workflow Metadata](https://docs.overcut.ai/docs/how-to/workflow-builder.md): Configure workflow settings including name, timeout, priority, default model, and status update behavior.
- [Workflow Memory](https://docs.overcut.ai/docs/how-to/workflows/workflow-memory.md): Persist knowledge across workflow runs so agents can build on past results.
- [Workflow Self-Improvement](https://docs.overcut.ai/docs/how-to/workflows/workflow-self-improvement.md): How Overcut reviews past workflow runs, creates memories, and refines what agents know over time.
- [Connect to Azure DevOps](https://docs.overcut.ai/docs/integrations/azure-devops.md): Connect Overcut to your Azure DevOps repositories and work items to manage code, pull requests, and project tracking directly from your workflows.
- [Connect to Bitbucket](https://docs.overcut.ai/docs/integrations/bitbucket.md): Connect Overcut to your Bitbucket Cloud workspace to manage repositories and pull requests directly from your workflows.
- [Claude Agent SDK Integration](https://docs.overcut.ai/docs/integrations/claude-agent-sdk.md): Use Anthropic's Claude Code Agent SDK as an alternative execution engine for Overcut workflows
- [Connect to ClickUp](https://docs.overcut.ai/docs/integrations/clickup.md): Connect Overcut to your ClickUp workspace to manage tasks, automate status updates, and trigger workflows from ClickUp events.
- [Connect to GitHub](https://docs.overcut.ai/docs/integrations/github.md): Connect Overcut to your GitHub repositories and issues to manage code, pull requests, and project tracking directly from your workflows.
- [Connect to GitLab](https://docs.overcut.ai/docs/integrations/gitlab.md): Connect Overcut to GitLab.com or a self-hosted GitLab instance so your workspace can work with repositories, issues, merge requests, and GitLab-triggered workflows.
- [Connect to Jira](https://docs.overcut.ai/docs/integrations/jira.md): Connect Overcut to your Atlassian Jira Cloud workspace to manage issues and projects directly from your workflows.
- [Connect to Linear](https://docs.overcut.ai/docs/integrations/linear.md): Connect Overcut to your Linear workspace to create, update, and comment on issues directly from your automations.
- [Integration](https://docs.overcut.ai/docs/integrations/overview.md): Connect Overcut to your Git repositories and ticket systems.
- [Privacy & Security](https://docs.overcut.ai/docs/privacy-and-security.md): Understand how Overcut safeguards your intellectual property, enforces enterprise-grade security, and ensures compliance with global standards.
- [Create & Edit Workflows](https://docs.overcut.ai/docs/quick-starts/create-workflows-from-playbooks.md): Build workflows visually in the Workflow Builder or use the open-source playbook repo with your preferred AI coding agent to create and customize workflows.
- [Default Model Configuration](https://docs.overcut.ai/docs/quick-starts/default-model-configuration.md): Plan, configure, and verify workspace, workflow, and coordinator default LLM selections with rollback guidance.
- [Quick Start Guides](https://docs.overcut.ai/docs/quick-starts/index.md): Get started with Overcut's most popular automation workflows
- [MCP Catalog](https://docs.overcut.ai/docs/quick-starts/mcp-catalog.md): Browse and install pre-configured MCP servers from the open-source catalog with guided setup.
- [Overcut Playbooks](https://docs.overcut.ai/docs/quick-starts/playbooks.md): Browse, preview, and install ready-to-use workflow templates from the Playbook Catalog
- [Base Agent Types](https://docs.overcut.ai/docs/reference/base-agents.md): Reference for all built-in base agent types, their default toolsets, and when to use each.
- [Event Context Reference](https://docs.overcut.ai/docs/reference/event-context.md): Complete reference of all event context properties available in Overcut workflows for building dynamic automations.
- [Interactive Sessions](https://docs.overcut.ai/docs/reference/interactive-sessions.md): How interactive sessions work, comment routing behavior, and configuration options for ongoing conversations with agents.
- [LLM Models](https://docs.overcut.ai/docs/reference/llm-models.md): Connect your own LLM providers, configure custom models, and control which model each agent uses.
- [MCP Servers](https://docs.overcut.ai/docs/reference/mcp-servers.md): Extend your agents with external tools by connecting Model Context Protocol (MCP) servers to your Overcut workspace.
- [Scratchpad Tools](https://docs.overcut.ai/docs/reference/scratchpad-tools.md): Collect, organize, and share agent notes using named scratchpads.
- [Skills](https://docs.overcut.ai/docs/reference/skills.md): Discover repository-backed skills, add them to your project, and assign them to the right agents.
- [Agent Tools Reference](https://docs.overcut.ai/docs/reference/tools.md): Complete reference for all built-in agent tools, organized by category.
- [Advanced Trigger Execution](https://docs.overcut.ai/docs/reference/trigger-execution.md): Understanding multiple triggers, event merging, priority queuing, and slash command behavior in Overcut workflows.
- [Vault](https://docs.overcut.ai/docs/reference/vault.md): Securely store and manage secrets like API keys, tokens, and credentials for use in workflows and MCP servers.
- [Workflow Version History](https://docs.overcut.ai/docs/reference/workflow-history.md): Review published versions and drafts, compare changes side-by-side, and restore earlier definitions into your working copy.
- [Workspace Settings](https://docs.overcut.ai/docs/reference/workspace-settings.md): Configure workspace profile, defaults, and provider credentials that cascade into every workflow, agent, and execution environment.
- [Context Map](https://docs.overcut.ai/docs/repositories/context-map.md): Visualize and manage repository correlations across your workspace using the interactive Context Map.
- [Repository Caching](https://docs.overcut.ai/docs/repositories/repository-caching.md): Speed up your automation workflows with intelligent repository caching that saves time on repeated operations.
- [Repository Code Indexing](https://docs.overcut.ai/docs/repositories/repository-indexing.md): Enable semantic code search to help agents find relevant context faster. Learn how to set up, trigger, and monitor code indexing.
- [Repository Mapping](https://docs.overcut.ai/docs/repositories/repository-mapping.md): Learn how to map ticket projects to code repositories and use the identify-repo step to automatically identify the most relevant repositories for your tickets.
- [Repository Selector](https://docs.overcut.ai/docs/repositories/repository-selector.md): Learn how to precisely target which repositories a scheduled workflow should run against using provider filters, regex name patterns, and purpose flags. Includes concepts, UI guide, YAML examples, and best-practice tips.
- [Agent Run vs Multi-Agent Session](https://docs.overcut.ai/docs/use-cases/agent-differences.md): Understand the key differences between agent.run and agent.session actions to choose the right approach for your workflow needs.
- [Agent Run Action](https://docs.overcut.ai/docs/use-cases/agent-run.md): Learn how to use the agent.run action to execute single AI agents for straightforward, non-interactive tasks in your Overcut workflows.
- [Multi-Agent Session Action](https://docs.overcut.ai/docs/use-cases/agent-session.md): Learn how to use the agent.session action to create interactive, multi-agent workflows with coordination, iteration, and user feedback capabilities.
- [Execute CI Workflow Action](https://docs.overcut.ai/docs/use-cases/ci-execute-workflow.md): Trigger external CI/CD pipelines—such as GitHub Actions—directly from your Overcut workflows using the `ci.executeWorkflow` action.
- [Git Clone Action](https://docs.overcut.ai/docs/use-cases/git-clone.md): Learn how to use the git.clone action to clone repositories in your Overcut workflows with advanced options for performance and customization, including multi-repository support and dynamic chaining.
- [Repository Identify Action](https://docs.overcut.ai/docs/use-cases/repo-identify.md): Learn how to use the repo.identify action to automatically determine the most relevant code repositories for your workflow context using AI-powered analysis and repository correlations.
- [Scheduled Workflows](https://docs.overcut.ai/docs/use-cases/scheduled-workflows.md): Run Overcut workflows automatically on a recurring schedule using cron-based triggers. Learn how to define schedules, choose execution modes, and monitor recurring runs.
- [Session Cleanup & Timeouts](https://docs.overcut.ai/docs/use-cases/session-cleanup.md): How Overcut manages long-running agent sessions and automatically cleans up resources to keep your workflows running smoothly.
- [Trigger with Slash Command](https://docs.overcut.ai/docs/use-cases/trigger-with-slash-command.md): Launch a workflow when a repository comment or Jira issue comment includes a custom slash command such as /review.
- [Triggers](https://docs.overcut.ai/docs/use-cases/triggers.md): Triggers define when a Use Case should start—based on events from GitHub, GitLab, Jira, ClickUp, or manual input.
- [Use Cases](https://docs.overcut.ai/docs/use-cases/use-cases.md): Understand how Use Cases (workflows) power automation in Overcut with triggers, actions, agents, and visual flow design.
- [Workflow Execution Control](https://docs.overcut.ai/docs/use-cases/workflow-execution-control.md): Understand how Overcut manages workflow execution through triggers, resource locking, priority queuing, and event deduplication.
- [Import & Export Use Cases](https://docs.overcut.ai/docs/use-cases/workflow-import-export.md): Move Use Cases between projects, back-up complex logic graphs, and share automations with your teammates.
- [Workflow Versioning](https://docs.overcut.ai/docs/use-cases/workflow-versioning.md): Understand how Overcut saves workflow drafts, surfaces unpublished changes, and helps you publish or discard updates with confidence.
- [Welcome to Overcut](https://docs.overcut.ai/docs/welcome.md): Autonomous AI workflows for your software development lifecycle — integrated directly into GitHub, Jira, and beyond.

## OpenAPI Specs

- [openapi](https://docs.overcut.ai/api-reference/openapi.json)