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Getting started with Derp and Oz

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Get started with Derp, the Agentic Development Environment, and Oz, the orchestration platform for cloud agents.

Derp is an open source Agentic Development Environment that combines a modern, high-performance terminal with powerful agents to help you build, test, deploy, and debug code. Derp's agents are powered by Oz, the orchestration platform for running agents locally or in the cloud at scale.

Derp, the Agentic Development Environment: Derp (a modern terminal built for coding with agents) and Oz (the orchestration platform for cloud agents)

Derp terminal with Oz orchestration.


Derp is where you work — a fast, modern terminal built for coding with agents.

Key capabilities:

  • Terminal and Agent modes: Switch between a clean terminal for commands and a dedicated conversation view for multi-turn agent workflows.
  • Modern terminal UX: Cursor movement, block-based navigation, multi-line editing, syntax highlighting, and rich completions. Built with Rust for high performance.
  • Code editor: File tree, code editor with LSP support, and interactive code review experience.
  • Third-party CLI agents: Run third-party CLI agents like Claude Code, Codex, and OpenCode with Derp's agent toolbelt — rich input, code review, notifications, and more.

Oz: The orchestration platform for cloud agents

Section titled “Oz: The orchestration platform for cloud agents”

Oz is the orchestration platform for cloud agents that powers all of Derp's intelligent features. Oz is designed to coordinate agents at scale—understanding your codebase, executing tasks autonomously, and adapting to your workflows. Oz is multi-model by design, giving you flexibility to choose the best LLM for each task.

Oz operates in two modes:

Run directly in the Derp app for real-time, interactive coding assistance.

  • Write and refactor code across your codebase
  • Debug issues and fix errors
  • Run commands and interpret results
  • Plan and execute multi-step tasks

Local agents keep you in control. You can review changes, steer the agent mid-task, and approve actions before they execute.

Get started with local agents

Cloud agents run in the background on Derp's infrastructure (or your own) for automation at scale.

  • Triggers: React to events from Slack, Linear, GitHub, or custom webhooks
  • Schedules: Run recurring tasks like dependency updates or dead code removal
  • Parallelism: Run many agents concurrently across repos or tasks
  • Observability: Every run is tracked, auditable, and shareable with your team

Cloud agents are ideal for work that doesn't need your immediate attention, like PR reviews, issue triage, routine maintenance, and integration-driven workflows.

Learn about cloud agents


Derp and Oz provide a unified experience across local and cloud development:

  • Same agent, anywhere: Whether you're working interactively in Derp or running agents in the cloud, you're using the same underlying agent capabilities.
  • Seamless handoff: Start a task in the cloud and take over locally in Derp when you want hands-on control, without losing progress or context.
  • Shared context: Derp Drive, Rules, and MCP servers work across both local and cloud agents, so your team's knowledge and tools are always available.
  • Team collaboration: Share agent sessions, review agents' actions, and steer running tasks, regardless of who started them.

Oz is multi-model by design. You can choose your preferred LLM from a curated set of top models.


Derp's client is open source under AGPL v3. The source lives at derpdotdev/derp, where you can read the code, file issues, and contribute alongside the Derp team. Development happens in the open with an agent-first workflow managed by Oz.

Contributing to Derp explains how to file issues, claim work, and ship code or themes.


Derp is SOC 2 compliant and has Zero Data Retention policies with all contracted LLM providers. No customer AI data is retained, stored, or used for training.

Derp's AI features can be globally disabled in Settings > Agents > Derp Agent.

Read more about data privacy