Ganesha Danu Enastika

Ganesha Danu Enastika

Corpus Hub contributor since 2026-10-22

Ganesha Danu Enastika'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
15files
1,313lines
★ 13GitHub stars on repo

Totals across every corpus @blinfoldking 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 vizier corpus

vizier-lab/vizier: AI agents that remember who they are, and who you are. Hosted by you

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 vizier-lab/vizier with XERJ (https://hub.xerj.org/corpus/vizier-lab--vizier).
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/vizier-lab/vizier vizier && git -C vizier checkout d6ca50212249c8a7393101f1dc3a8ca972d88c6d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./vizier --url http://127.0.0.1:9200 --prefix vizier --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 vizier-lab--vizier · AI, prompts and agents
Related corpora: chroma, camel, omesser/fidget, prismworks-ai/prism-mcp-rs
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 13

vizier-lab/vizier

d6ca502122 [Spec Kit] Implementation progress
selected commit: 15 files · 1,313 lines · Rust, TypeScript · src/channels, src/agents, src/skill

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

selected · in licence reviewcorpus vizier-lab--vizierAIMITagentaiai-agentsai-toolsopenclawrust agreed 2026-10-22

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/blinfoldking/badge.svg)](https://hub.xerj.org/contributors/blinfoldking)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.