# Overcut.ai ## Docs - [AGENTS](https://docs.overcut.ai/AGENTS.md) - [Agentic SDLC Orchestration vs. Synchronization](https://docs.overcut.ai/blog/agentic-sdlc-orchestration-vs-synchronization.md): This article has moved to overcut.ai/blog/agentic-sdlc-orchestration-vs-synchronization. - [Build vs Buy Your SDLC Orchestration Layer](https://docs.overcut.ai/blog/build-vs-buy-sdlc-orchestration.md): This article has moved to overcut.ai/blog/build-vs-buy-sdlc-orchestration. - [How Enterprises Can Adopt AI Developer Tools Successfully](https://docs.overcut.ai/blog/enterprise-ai-developer-tools.md): This article has moved to overcut.ai/blog/enterprise-ai-developer-tools. - [From Engineering Chaos to Agentic Chaos](https://docs.overcut.ai/blog/from-engineering-chaos-to-agentic-chaos.md): This article has moved to overcut.ai/blog/from-engineering-chaos-to-agentic-chaos. - [Overcut Blog](https://docs.overcut.ai/blog/index.md): The Overcut blog has moved to overcut.ai/blog. - [Introducing Overcut](https://docs.overcut.ai/blog/introducing-overcut.md): This article has moved to overcut.ai/blog/introducing-overcut. - [Overcut vs. n8n for Production-Grade Dev Automation](https://docs.overcut.ai/blog/overcut-vs-8n8.md): This article has moved to overcut.ai/blog/overcut-vs-8n8. - [Overcut vs. Copilot, Cursor, and ChatGPT](https://docs.overcut.ai/blog/overcut-vs-copilot-cursor-and-chat-gpt.md): This article has moved to overcut.ai/blog/overcut-vs-copilot-cursor-and-chat-gpt. - [The Agentic Software Development Lifecycle](https://docs.overcut.ai/blog/the-agentic-software-development-lifecycle.md): This article has moved to overcut.ai/blog/the-agentic-software-development-lifecycle. - [The Plateau at Level Three](https://docs.overcut.ai/blog/the-plateau-at-level-three.md): This article has moved to overcut.ai/blog/the-plateau-at-level-three. - [The Real Future of AI Development](https://docs.overcut.ai/blog/the-real-future-of-ai-development.md): This article has moved to overcut.ai/blog/the-real-future-of-ai-development. - [Workflows That Remember](https://docs.overcut.ai/blog/workflows-that-remember.md): This article has moved to overcut.ai/blog/workflows-that-remember. - [Changelog](https://docs.overcut.ai/changelog/overview.md): New features, improvements, and fixes in Overcut. - [Core Building Blocks](https://docs.overcut.ai/docs/building-blocks.md): The primitives behind every Overcut automation: workspaces and projects, the agent harness, workflows, and the runtime that connects them to your Git, tickets, and chat. - [Multi-Project Workspaces](https://docs.overcut.ai/docs/concepts/multi-project-workspaces.md): Use projects to give each scope of work its own bounded agent harness (repositories, MCP servers, skills, agents, and secrets) while sharing models, integrations, and team membership across the workspace. - [Product Overview](https://docs.overcut.ai/docs/get-started/product-overview.md): A deeper tour of Overcut, the enterprise control plane for agentic SDLC. - [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 Azure DevOps with the guided setup flow for consent, service principal access, and connection verification. - [Connect to Bitbucket](https://docs.overcut.ai/docs/integrations/bitbucket.md): Connect Overcut to Bitbucket so agents can work with repositories and pull requests directly from your workflows. - [Bitbucket Cloud on Overcut Cloud (Forge app)](https://docs.overcut.ai/docs/integrations/bitbucket/cloud.md): Connect Bitbucket Cloud to Overcut's managed service by installing the Overcut Forge app. - [Bitbucket Cloud from self-hosted Overcut](https://docs.overcut.ai/docs/integrations/bitbucket/cloud-self-hosted.md): Connect Atlassian-hosted Bitbucket Cloud to a self-hosted Overcut deployment using your own OAuth consumer. - [Bitbucket Server / Data Center](https://docs.overcut.ai/docs/integrations/bitbucket/data-center.md): Connect an on-prem Bitbucket Server or Data Center instance to a self-hosted Overcut deployment using an OAuth application link. - [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. - [Custom Events](https://docs.overcut.ai/docs/integrations/custom-events.md): Define your own event types and trigger Overcut workflows from any third-party system via a public webhook URL. - [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. - [GitHub on Overcut Cloud](https://docs.overcut.ai/docs/integrations/github/cloud.md): Connect GitHub to Overcut's managed service by installing the Overcut GitHub App. - [GitHub from self-hosted Overcut](https://docs.overcut.ai/docs/integrations/github/self-hosted.md): Connect GitHub.com to a self-hosted Overcut deployment by creating your own GitHub App. - [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 Jira so agents can read, create, and update issues directly from your workflows. - [Jira Cloud on Overcut Cloud (Forge app)](https://docs.overcut.ai/docs/integrations/jira/cloud.md): Connect Jira Cloud to Overcut's managed service by installing the Overcut Forge app. - [Jira Cloud from self-hosted Overcut](https://docs.overcut.ai/docs/integrations/jira/cloud-self-hosted.md): Connect Atlassian-hosted Jira Cloud to a self-hosted Overcut deployment using your own OAuth app. - [Jira Server / Data Center](https://docs.overcut.ai/docs/integrations/jira/data-center.md): Connect an on-prem Jira Server or Data Center instance to a self-hosted Overcut deployment using an OAuth application link. - [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, ticket systems, and team chat. - [Connect to Slack](https://docs.overcut.ai/docs/integrations/slack.md): Connect a Slack workspace to Overcut, register channels per project, and trigger workflows from team conversations. - [Slack from self-hosted Overcut](https://docs.overcut.ai/docs/integrations/slack/self-hosted.md): Connect Slack to a self-hosted Overcut deployment by creating your own Slack app. - [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 Skills](https://docs.overcut.ai/docs/quick-starts/overcut-skills.md): Official Overcut skills you add to your AI coding agent to manage your workspace and migrate existing automation frameworks into Overcut. - [Convert to Overcut](https://docs.overcut.ai/docs/quick-starts/overcut-skills/convert-to-overcut.md): Add the convert-to-overcut skill to your AI coding agent to migrate an existing automation framework into Overcut Skills, Agents, and Workflows. - [Overcut API Skill](https://docs.overcut.ai/docs/quick-starts/overcut-skills/overcut-api.md): Add the overcut-api skill to your AI coding agent to build workflows and agents, monitor executions, and debug runs in plain language. - [Overcut Playbooks](https://docs.overcut.ai/docs/quick-starts/playbooks.md): Browse, preview, and install ready-to-use workflow templates from the Playbook Catalog - [Private Package Registries](https://docs.overcut.ai/docs/quick-starts/private-package-registries.md): Give agents access to private package feeds like Azure DevOps NuGet using a Vault secret and a reusable skill. - [Audit Trail](https://docs.overcut.ai/docs/reference/audit-trail.md): An immutable record of who changed what in your workspace, for security review, compliance, and incident investigation. - [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. - [Custom Events API](https://docs.overcut.ai/docs/reference/custom-events-api.md): Full request and response contract for the Custom Events webhook endpoint: methods, auth, payload, query params, errors, and limits. - [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 project-scoped 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-level profile, defaults, and credentials shared across every project in the workspace. - [Agent Image](https://docs.overcut.ai/docs/repositories/agent-image.md): Choose the container environment your agents run in for each repository so builds and tests use the right language toolchain. - [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. - [Vulnerability Management & Version Lifecycle](https://docs.overcut.ai/docs/vulnerability-management.md): How Overcut identifies, triages, remediates, and ships security and stability fixes, and how long each release is supported for customer-managed deployments. - [Welcome to Overcut](https://docs.overcut.ai/docs/welcome.md): The enterprise control plane for agentic SDLC. Run agents that work in your Git, tickets, and CI with durable state, approvals, observability, audit trails, and sandboxed execution built in. - [Agent Run vs Multi-Agent Session](https://docs.overcut.ai/docs/workflows/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/workflows/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/workflows/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/workflows/ci-execute-workflow.md): Trigger external CI/CD pipelines, such as GitHub Actions, directly from your Overcut workflows using the `ci.executeWorkflow` action. - [Custom Events in Workflows](https://docs.overcut.ai/docs/workflows/custom-events.md): Trigger workflows from a workspace Custom Event, filter on the incoming payload, and access event data in downstream steps. - [Git Clone Action](https://docs.overcut.ai/docs/workflows/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/workflows/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. - [Run Script Action](https://docs.overcut.ai/docs/workflows/run-script.md): Run deterministic bash scripts in workflow execution containers and pass structured results to later steps. - [Scheduled Workflows](https://docs.overcut.ai/docs/workflows/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/workflows/session-cleanup.md): How Overcut manages long-running agent sessions and automatically cleans up resources to keep your workflows running smoothly. - [Token Usage Analytics](https://docs.overcut.ai/docs/workflows/token-usage-analytics.md): Monitor LLM token consumption across dashboards, execution lists, and workflow run details so you can find high-usage workflows, models, agents, and runs. - [Trigger with Slash Command](https://docs.overcut.ai/docs/workflows/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/workflows/triggers.md): Triggers define when a Workflow should start, based on events from GitHub, GitLab, Jira, ClickUp, or manual input. - [Workflow Execution Control](https://docs.overcut.ai/docs/workflows/workflow-execution-control.md): Understand how Overcut manages workflow execution through triggers, resource locking, priority queuing, and event deduplication. - [Import & Export Workflows](https://docs.overcut.ai/docs/workflows/workflow-import-export.md): Move Workflows between projects, back-up complex logic graphs, and share automations with your teammates. - [Workflow Versioning](https://docs.overcut.ai/docs/workflows/workflow-versioning.md): Understand how Overcut saves workflow drafts, surfaces unpublished changes, and helps you publish or discard updates with confidence. - [Workflows](https://docs.overcut.ai/docs/workflows/workflows.md): Understand how Workflows power automation in Overcut with triggers, actions, agents, and visual flow design. ## OpenAPI Specs - [openapi](https://docs.overcut.ai/api-reference/openapi.json)