Shubham

Shubham

Corpus Hub contributor since 2026-10-23

Shubham'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
7files
226lines
★ 5GitHub stars on repo

Totals across every corpus @shubhsting 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 tensemem corpus

tensemem/tensemem: Memory that knows its tenses: embedded, deterministic state memory for AI agents

Example questions
Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.
Search the GitHub repository tensemem/tensemem with XERJ (https://hub.xerj.org/corpus/tensemem--tensemem).
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/tensemem/tensemem tensemem && git -C tensemem checkout dc240b1b7752850a43671916b86fbab56a940f25
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./tensemem --url http://127.0.0.1:9200 --prefix tensemem --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: Apache-2.0. Keep the copyright notice and credit the authors.

corpus tensemem--tensemem · AI, prompts and agents
Related corpora: gemini-cookbook, axolotl, distilabel, flagembedding
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 5

tensemem/tensemem

dc240b1b77 [low-risk] Add StorageBackend protocol (#41)
selected commit: 7 files · 226 lines · Python · tests, src/tensemem

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

selected · in licence reviewcorpus tensemem--tensememAIApache-2.0 agreed 2026-10-23

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

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.