dot-engine

Faithful TypeScript port of Graphviz (EPL-2.0), browser-targeted

A new way for AI to search for data
View on GitHub
3GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit d6ede47724 (2026-10-18).

Selected work

“print html label errors and in-label continuation”. 10 files, 1,637 lines in src/common.

Licence

The repository

EPL-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-19. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

Example questions

The prompt

Paste it into your AI agent. It clones knowvah/dot-engine at the pinned commit and indexes it on your machine.

Search the GitHub repository knowvah/dot-engine with XERJ (https://hub.xerj.org/corpus/knowvah--dot-engine).
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/knowvah/dot-engine dot-engine && git -C dot-engine checkout d6ede47724b3439928548062a063bd166fe707f2
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./dot-engine --url http://127.0.0.1:9200 --prefix dot-engine --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: EPL-2.0. Read it for the approach only, do not copy code.

Related

Selected work and consent: the XERJ registry.