Building a Video Generation Pipeline with OpenClaw, ClawVid, and Composio

✍️ OpenClawRadar📅 Published: April 17, 2026🔗 Source
Building a Video Generation Pipeline with OpenClaw, ClawVid, and Composio
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OpenClaw Video Pipeline Setup

A developer documented their experience creating a complete video generation pipeline using OpenClaw over a weekend. The system takes text prompts and outputs finished MP4 videos with voiceover, visuals, music, and subtitles, requiring no camera, editing, or on-screen presence.

Architecture Components

OpenClaw serves as the runtime that gives LLMs (in this case, Claude) the ability to execute actions. It runs tools, maintains state between steps, and integrates with existing chat interfaces. The LLM handles reasoning while OpenClaw performs the actions.

For integrations, Composio was used instead of managing raw API keys directly. It handles authentication for multiple tools, with credentials never stored locally on the machine.

The video generation layer combines ClawVid and Remotion. ClawVid is a skill cloned into the workspace that uses fal.ai for text-to-speech, image generation, video clips, music, and sound effects. Remotion with FFmpeg then stitches everything into final MP4 files.

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Setup Process

The setup steps from the source:

  • Clone OpenClaw and build the Docker image (~5 minutes)
  • Run docker compose up -d
  • Run setup in the gateway container, fix the controlUi origin issue for Docker, then restart
  • Open localhost:18789, grab your token from the container, connect and approve device pairing
  • Install the Composio plugin, set your consumer key, verify tools load in chat
  • Clone ClawVid into the workspace, then run npm install && npm run build && npm link
  • Add your fal.ai key to the .env file
  • Go to dashboard chat and type a video prompt

The developer tested with the prompt: "Make a 15 second video about how Composio works with OpenClaw, tech explainer style, dark background, upbeat narration" and received two MP4s (16:9 and 9:16 aspect ratios) with word-level subtitles in approximately 4 minutes.

Security Considerations

OpenClaw can read files and run shell commands. Some skills have had credential theft issues. Recommendations from the source:

  • Don't run this on your main machine without Docker isolation
  • Don't paste API keys into the dashboard chat - use the CLI config approach instead
  • The Composio plugin helps with security since credentials are OAuth-hosted on their end, and OpenClaw never holds the master keys

This approach demonstrates how to combine multiple AI tools into a functional pipeline for automated video creation.

📖 Read the full source: r/openclaw

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👀 See Also

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Validating Product Ideas with Claude Code and Remotion Demos

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Autonomous Magazine Pipeline with Claude Code: Agentic Architecture Breakdown

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Claude AI Used to Generate Performance Evaluation Document from User History

A developer used Claude AI to complete a 3-4 page performance evaluation document by asking it to 'complete this documentation using information you have about me.' The AI generated a detailed document in 5-6 minutes that included work contributions the user had almost forgotten.

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