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A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
VidXP makes one video—or an entire collection—searchable by meaning:
VidXP (Video eXPlain) - Video Indexing Engine. Search in videos in natural language. 👀 Connect your Hermes / Claude / OpenClaw agents, allow them to understand videos with low token cost.
Use it to search years of family videos, add video search to an editing workflow, or let an AI agent answer questions using evidence from your own video library. Your videos can stay on your machine.
Choose the setup that fits how you want to use VidXP.
Download the installer for Windows, Apple Silicon macOS, or Linux from GitHub Releases.
Connect an existing VidXP installation or let the desktop app manage an isolated runtime for you. See the Desktop installation instructions for supported setup options.
For commands, scripts, and local AI assistants, install uv, then run:
# Install the CPU edition
uv tool install --python 3.14 --torch-backend cpu "vidxp[local-worker,mcp]"
# Check FFmpeg, download models, and verify the installation
vidxp init
vidxp prepare
vidxp doctor
# Print the settings for a local MCP client
vidxp mcp-config
Add the browser interface with:
uv tool install --python 3.14 --torch-backend cpu \
"vidxp[local-worker,mcp,frontend]"
vidxp ui
See the installation guide for client-specific MCP configuration, the HTTP API, and remote server setup.
Run the published all-in-one image on a home server or another single machine:
# Download the search models into the persistent volume
docker run --rm -it \
-v vidxp-data:/var/lib/vidxp \
ghcr.io/grayhatdevelopers/vidxp:latest \
vidxp prepare
# Start the browser interface
docker run --rm --init \
-p 8501:8501 \
-v vidxp-data:/var/lib/vidxp \
ghcr.io/grayhatdevelopers/vidxp:latest
For a long-lived server, pin a published version instead of latest. For a
Coolify deployment, use the published -control and -worker images with
compose.coolify.yaml—no repository build is required.
See the Coolify guide for the complete setup.
The browser app guides you through importing and indexing. The same flow from the command line is:
# Add a video
vidxp media import samplevideo.mp4 --json
# Index the returned media ID
vidxp index create <media-id>
# Find a visual moment
vidxp search scene "a yellow taxi on a city street"
# Find an action or event
vidxp search action "a person opens a door and walks outside"
# Find a sound event
vidxp search sound "a dog barking over traffic noise"
# Find something that was said
vidxp search speech "the bread just came out of the oven"
Results include the source video, timestamps, match score, and the evidence
used to find the moment. Add --media-id <media-id> to search only one video.
Run vidxp --help or vidxp <command> --help for the full command reference.
Use the Python package to add selected VidXP capabilities directly to an application, or use the HTTP API when VidXP runs as a service.
MCP lets AI clients add and index videos, search a library, ask grounded questions, and return inspectable evidence such as boards, frames, and clips. A local client can start VidXP as a program on the same computer. A hosted client connects to a deployed VidXP server.
VidXP is distributed as a Codex plugin through a Git marketplace hosted in this GitHub repository. It includes three reusable workflows:
Paste this into Codex:
Add https://github.com/grayhatdevelopers/vidxp as a Git plugin marketplace, install the VidXP plugin, then use its $vidxp-install skill to set up VidXP on this computer.
VidXP Desktop can perform the same setup from its Set up in Codex button.
Compatible AI clients can show an interactive upload and evidence-review view. Clients without that interface still receive the same workflow results through ordinary MCP tools.
First setup downloads only the models needed for the capabilities you select. VidXP shows the download size and destination before it starts.
The Desktop-managed Python runtime and its selected dependencies can use approximately 3 GiB.
A full local Desktop setup with every search capability uses approximately 9.0 GiB. Leave additional temporary space during installation and for indexes, source videos, and exported results.
By default, the CLI and desktop app share the same VidXP data directory:
Docker keeps the same data in the vidxp-data volume shown above.
The next product improvements are focused on:
VidXP is in beta. Feedback about search quality, actor workflows, and real video-library use cases is especially useful.
Contributions are welcome. Read the contribution guide before opening a pull request.
VidXP began as a student research project by:
The research was conducted with Dr Shahab Tahzeeb at NED University of Engineering and Technology and Saad Bazaz at Grayhat.
VidXP is now built by Grayhat and maintained by community contributors.
Email: [email protected]
VidXP (Video eXPlain) - Video Indexing Engine. Search in videos in natural language. 👀 Connect your Hermes / Claude / OpenClaw agents, allow them to understand videos with low token cost.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Vidxp ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-28 VidXP (Video eXPlain) - Video Indexing Engine. Search in videos in natural language. 👀 Connect your Hermes / Claude / OpenClaw agents, allow them to understand videos with low token cost.
