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operator

untra/operator/docs/llms.txt

Operator! is a Rust TUI for orchestrating Claude Code and other LLM coding agents across multi-repository codebases, driven by kanban-style markdown tickets. It connects to Jira, Linear, and GitHub Projects; launches agents in tmux, cmux, Zellij, VS Code, or Zed sessions; reaches models via Anthropic, OpenAI, Google, OpenRouter, or Ollama; and enforces team workflows. Operator runs from the root of your work directory, discovers projects by LLM marker files (CLAUDE.md / CODEX.md / GEMINI.md) and git repositories, and manages a…

llms.txt38 starsChanged 20 days ago
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# Operator!

> Operator! is a Rust TUI for orchestrating Claude Code and other LLM coding agents across multi-repository codebases, driven by kanban-style markdown tickets. It connects to Jira, Linear, and GitHub Projects; launches agents in tmux, cmux, Zellij, VS Code, or Zed sessions; reaches models via Anthropic, OpenAI, Google, OpenRouter, or Ollama; and enforces team workflows.

Operator runs from the root of your work directory, discovers projects by LLM marker files (CLAUDE.md / CODEX.md / GEMINI.md) and git repositories, and manages a `.tickets/` queue. It exposes a REST API and an embedded web developer portal.

## Getting Started
- [Getting Started](https://operator.untra.io/getting-started/): Install and configure Operator! for managing AI-assisted development workflows.
- [Tickets](https://operator.untra.io/getting-started/tickets/): Create and manage tickets with markdown format, naming conventions, and best practices for LLM agents.
- [Supported Kanban Providers](https://operator.untra.io/getting-started/kanban/): Kanban and issue tracking integrations for Operator.
- [Supported Coding Agents](https://operator.untra.io/getting-started/agents/): AI coding agents compatible with Operator.
- [Kubernetes](https://operator.untra.io/getting-started/platforms/kubernetes/): Run Operator in Kubernetes from the official OCI Helm chart, with persistent workspace state and an authenticated API.
- [Downloads](https://operator.untra.io/downloads/): Download Operator! binaries for macOS, Linux, and Windows.

## Workflows
- [Workflows](https://operator.untra.io/workflows/): Shareable collections of Operator workflows.
- [Workflow Export Formats](https://operator.untra.io/getting-started/workflows/): Export an Operator workflow into a format another LLM tool or model can run.
- [Delegators](https://operator.untra.io/delegators/): Named LLM tool + model pairings for autonomous ticket launching.
- [Remote Hosts (SSH)](https://operator.untra.io/getting-started/sessions/remote-hosts/): Run launched agents on remote machines over SSH (execution targets).

## Integrations
- [LLM Tools](https://operator.untra.io/llm-tools/): Configure Claude Code and other LLM tools for AI-powered agent integration with Operator!.
- [Relay](https://operator.untra.io/relay/): Multi-agent peer-to-peer communication hub embedded in Operator.

## Reference
- [CLI Reference](https://operator.untra.io/cli/): Commands and environment variables.
- [Configuration](https://operator.untra.io/configuration/): TOML configuration structure and options.
- [Schema Reference](https://operator.untra.io/schemas/): Ticket metadata, issue type, and OpenAPI schema reference.
- [Keyboard Shortcuts](https://operator.untra.io/shortcuts/): TUI keyboard shortcuts by context.
- [Project Taxonomy](https://operator.untra.io/taxonomy/): Project Kinds across five tiers.
- [Artifact Detection](https://operator.untra.io/artifact-detection/): How Operator uses file artifacts as positive signals for step completion.
- [Security](https://operator.untra.io/security/): Threat model and security architecture for Operator: trust boundaries, route classification, credential handling, and residual risks.
- [Authentication](https://operator.untra.io/security/authentication/): How Operator authenticates: the admin account, bootstrap, browser sessions, OAuth device flow, access keys, scopes, and recovery.

## Optional
- [GitHub Repository](https://github.com/untra/operator): Source code (Rust, MIT).

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