Video Searching Agent
Official OpenClaw skill on ClawHub for searching and analyzing videos across YouTube, TikTok, Instagram, and X.
Video Editing Agent (VEA)
Turn long-form videos into short-form outputs with indexing, script generation, clip planning, TTS, and rendering.
Which Agent Should You Use?
| Goal | Recommended Agent | Why |
|---|---|---|
| Discover trends and creators from social platforms | Video Searching Agent | Multi-platform search, query parsing, ranking, and references |
| Build recap/highlight generation from long videos | Video Editing Agent (VEA) | End-to-end editing pipeline from indexing to final export |
| Do both discovery and automated repurposing | Use both | Source ideas with Video Searching Agent, then generate deliverables with VEA |
Shared Foundation
- Video Understanding: Both agents can leverage Memories.ai for video metadata, transcript, and semantic understanding.
- Agentic Execution: Both projects orchestrate multiple tools/components instead of single-shot prompting.
- Extensible by Design: You can add tools, prompts, models, and routing logic for your own domain.
Typical Integration Path
- Pick the agent matching your workflow objective.
- Configure required keys and environment variables.
- Run locally and validate with a small set of real videos.
- Customize prompts, tools, and scoring logic for production use.
Source repositories: Memories-ai-labs/video-searching-agent and Memories-ai-labs/vea-open-source.