novaflix

Sovereign Next-Gen Media Server combining the elegance of Plex, freedom of Jellyfin, and power of Emby with Remote Access and Multi-Platform Downloads

A new way for AI to search for data

View on GitHub

1GitHub stars

11commits on main

0forks

Python 38.7%, JavaScript 26.6%, HTML 22.1%, CSS 9.1% · created 2026-10-26 · last push 2026-10-30

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 639c033c80 (2026-10-26). main is 2 commits ahead.

Selected work

Efrain Rivas
@digdast

“implement media type filtering, routing, and real links for movi…”. 4 files, 267 lines in static, templates, novaflix.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

direct-playemby-alternativefastapihlshomelabjellyfin-alternativemedia-serverplex-alternative

Example questions

How does novaflix implement direct-play?
What does static do in novaflix?
Show the emby-alternative code in novaflix.

The prompt

Paste it into your AI agent. It clones digdast/novaflix at the pinned commit and indexes it on your machine.

Search the GitHub repository digdast/novaflix with XERJ (https://hub.xerj.org/corpus/digdast--novaflix).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/digdast/novaflix novaflix && git -C novaflix checkout 639c033c800066ef42d3d94275047c6f60f913e2
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./novaflix --url http://127.0.0.1:9200 --prefix novaflix --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Efrain Rivas API design and specification corpora dunorth595--ai-agent-chat dunorth595--ai-agent-memory density bauerpawel/DOCKYARD Gi-Tuu/AMBRACE Amz34/ai-data-analyst

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.