vortexkv

The fastest pure Go in-memory Redis alternative. 6.87M+ ops/s peak throughput, 119µs latency, Multi-Reactor engine, embedded Cyberpunk Web…

A new way for AI to search for data
View on GitHub
19GitHub stars

Go

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 02bfcbb161 (2026-09-22).

Selected work

Anshu Garg
@GargAnshu9468

“single-cycle integer dispatch, SO_REUSEPORT kernel soc…”. 5 files, 985 lines in internal/reactor, internal/engine.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-11. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

cachegolanghigh-performancein-memory-databaseredisvector-searchclusteringcyberpunk

Example questions

The prompt

Paste it into your AI agent. It clones GargAnshu9468/vortexkv at the pinned commit and indexes it on your machine.

Search the GitHub repository GargAnshu9468/vortexkv with XERJ (https://hub.xerj.org/corpus/garganshu9468--vortexkv).
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/GargAnshu9468/vortexkv vortexkv && git -C vortexkv checkout 02bfcbb161399928fc762173caf796b6087990fb
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./vortexkv --url http://127.0.0.1:9200 --prefix vortexkv --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.

Related

Selected work and consent: the XERJ registry.