Databricks

Databricks · Launch Video Breakdown: Hook, Pacing & Motion Design

Omnigent is an open source AI meta-harness that gives teams one place to compose, control, and collaborate across agent workflows — bringing together coding agents including Codex, Claude, Cursor, Pi, Antigravity, and custom agents, with dynamic guardrails.

Developer ToolsLaunchAugust 4, 2026@databricks
0:00 · The Hook · Introducing Omnigent: The AI Meta-Harness
0:00 / 0:00

Scene-by-scene timeline & spoken transcript

  1. The Hook

    Introducing Omnigent: The AI Meta-Harness

    “become incredibly powerful, and as projects scale, across the same workflow. Omnigent is a meta harness that sits above all of your agents, giving teams one place to compose, control, and collaborate across agent workflows. Bringing together coding agents including Codex, Claude, Cursor, Pi, Antigravity, and custom agents, with dynamic guardrails.”

    On screen
    Omnigent
    Camera
    Static camera with subtle zoom on icons, then a reveal of the Omnigent logo. Followed by a quick pan and zoom into a UI screen.
    Motion
    Iconography morphing, text reveal, UI zoom-in, subtle glow effects on icons.
  2. Product Reveal

    Unified Interface & Agent Switching

    “This gives you one unified interface for building robust agent workflows. And with Omnigent, you can seamlessly switch between different models and techniques, like Claude Code, with just one line change. Or even switch to OpenAI agents, with just one line change. This allows you to experiment with different models and techniques, without having to rewrite your entire workflow.”

    On screen
    /investigate Please investigate this repo and give me an overview. Files Agents 2/3 Shells polly explore-content-structure Plan: -[] Map top-level content areas -[] Inspect src libraries/components -[] Inspe... explore-architecture-tooling Now let me look at the API/functions layer, scripts, CI/hooks, and remaining structure. my_agent agent.yaml name: my_agent prompt: You are a helpful data analyst. executor: harness: claude-sdk tools: word_count: type: function callable: mypackage.mymodule.word_count researcher: type: agent prompt: Search for relevant information and summarize it. tools: word_count: inherit harness: openai-agents
    Camera
    Close-up on UI elements, then a smooth transition between code editor views. The camera follows the cursor and highlights text.
    Motion
    UI element highlighting, text typing animation, smooth code editor transitions, cursor animation.
  3. Feature Teaser

    Dynamic Guardrails & Secure Sandboxing

    “Omnigent also provides stateful data-centric policies that track things like cost budgets, or even require approval for file and shell operations. And because Omnigent runs in a secure sandbox, you can be confident that your agents are operating safely. And when it comes to collaboration, Omnigent makes it easy to share live agent sessions via a URL, so you can collaborate and steer your agent together, in real time, from your desktop or even your phone.”

    On screen
    Add Policy Choose a policy to apply to this session. Filter policies... Limit Tool Calls Per Session Limits the total number of tool calls across the entire session using session_state to persist the counter Require Approval for File & Shell Operations Asks for user approval before any file or shell tool call — covers Omnigent sys_os_* tools, Claude Code native tools (Bash, Read, Write, Edit, Glob... Block Specific Skills Prevents the agent from loading specific skills. Intercepts Session Cost Budget Change Gates a session on cumulative LLM spend (USD); once a hard limit is reached DENY (the whole turn at the request phase, or tool call) while still on an expensive model (prompting a model downgrade), and ASK for approval at each soft warning checkpoint (tool-call phase only). Reads event.context.usage.total_cost_usd and event.context.model. max_cost_usd (number) Hard limit in USD; once cumulative session cost reaches it, tool calls are blocked while the session is on an expensive model. ask_thresholds_usd (comma-separated) Optional soft warning checkpoints in USD; the session asks for approval the first time spend crosses each (every value must be < max_cost_usd). comma-separated values expensive_models (comma-separated) Optional case-insensitive substring tokens for the model tiers blocked once over budget (default: Fable and GPT-4, excluding the cheap -mini-nano variants). An empty list disables the hard limit, leaving only the soft thresholds. comma-separated values Add Share this session Invite others to view or collaborate on this session. Public access Anyone can view this session NAME t.dang@databricks.com anthony.giuliano@databricks.com User ID alice@example.com Copied! Done PERMISSION Owner Edit Read Grant sessionUtils.ts Comments Address All Open 1 Addressed computeSessionUsage can we refactor this? anthony.giuliano@databricks.com 12:22 PM Today Omnigent New session Inbox Q Search sessions No active sessions What should we do? Describe a task to start a new session... Claude Co... Development No workflow Advanced K49W3G0Z7R What should we do? Describe a task to start a new session... Claude Co... Development No workflow Advanced
    Camera
    Zoom into policy modals, then a stylized animation of a sandbox. Followed by UI interactions for sharing and collaboration, and a multi-device view.
    Motion
    Modal pop-up, illustrative animation, UI element interaction, multi-device screen presentation, subtle parallax scrolling.
  4. Call to Action

    Omnigent: Open Source & Available Now

    “but the layer you want to build on. Omnigent is open source and available today at omnigent.ai.”

    On screen
    but the layer you w Omnigent start today Omnigent is open source omnigent.ai at omnigent.ai.
    Camera
    Dynamic text animation, then a full-screen reveal of the Omnigent logo and call to action.
    Motion
    Kinetic typography, logo reveal, button animation, URL reveal.

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