Walid

Corpus Hub contributor since 2026-10-20

Walid's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

5files

583lines

★ 643GitHub stars on repo

Totals across every corpus @walidbarakat appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the dlstreamer corpus

open-edge-platform/dlstreamer: Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer*…

Look up how dlstreamer implements gstreamer, gstreamer-plugins, inference, with answers cited to file and line.
Reuse a worked example: the commit “[GVAWATERMARK] Fix seg mask dims” (5 files · C++).
Answer from dlstreamer's real C++ source instead of memory (AI, prompts and agents).

Example questions

Where does dlstreamer handle “[GVAWATERMARK] Fix seg mask dims”?
How does dlstreamer implement gstreamer?
What does tests do in dlstreamer?

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

Search the GitHub repository open-edge-platform/dlstreamer with XERJ (https://hub.xerj.org/corpus/open-edge-platform--dlstreamer).
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/open-edge-platform/dlstreamer dlstreamer && git -C dlstreamer checkout 81d58a25af7bb1040fbdfc333c9640bbc5f4f957
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./dlstreamer --url http://127.0.0.1:9200 --prefix dlstreamer --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.

corpus open-edge-platform--dlstreamer · AI, prompts and agents
Related corpora: candle, tensai-app/llama.kt, kvcache-ai/Mooncake
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 643

open-edge-platform/dlstreamer

81d58a25af [GVAWATERMARK] Fix seg mask dims (#1131)

selected commit: 5 files · 583 lines · C++ · tests, src/monolithic

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus open-edge-platform--dlstreamerAIMITgstreamergstreamer-pluginsinferenceintelopenvino agreed 2026-10-20

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/walidbarakat/badge.svg)](https://hub.xerj.org/contributors/walidbarakat)

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.