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agent-engineering

backlog row · status candidate · domain AI (AI, prompts and agents) · lane A · refresh pinned · tags GLOBAL · AGENTS · DESIGN

What an agent uses it for

an agent working on AI agents, LLM tooling, MCP servers and inference: real implementations agents can retrieve when building the same thing

Use it
curl -fsSLO https://raw.githubusercontent.com/xerj-org/xerj/corpus-hub/tools/xerj-code/hub/agent-engineering.json
xerj corpus add --from ./agent-engineering.json
xerj corpus index agent-engineering then xerj code agent-engineering "your question"

Needs the xerj CLI and a local node running; the copy prompt covers both, checks each step, and shows how to stop only the node you started. No shell: the MCP tool xerj_code_search with corpus: "agent-engineering", once the corpus is indexed on the node.

Sources and pins

sourcepinlicencesizereview note
https://github.com/CatVinci-Studio/Levis recipe?curated pack see drafts manifest review note
https://github.com/KingAlexGilbert/king-pong recipe?curated pack see drafts manifest review note
https://github.com/SparkofSpike/Sh1Zuku_Translate recipe?curated pack see drafts manifest review note
https://github.com/a86582751/dsh-nexttavern recipe?curated pack see drafts manifest review note
https://github.com/agentty-xyz/agentty recipe?curated pack see drafts manifest review note
https://github.com/alexneverland/Astakos-AI-Agent recipe?curated pack see drafts manifest review note
https://github.com/ali-ulu/huqan recipe?curated pack see drafts manifest review note
https://github.com/alvin-reyes/better-agentic-ide recipe?curated pack see drafts manifest review note
https://github.com/cascode-ai/analog-canvas recipe?curated pack see drafts manifest review note
https://github.com/chattymin/PokeTokenBar recipe?curated pack see drafts manifest review note
https://github.com/danielmiessler/Fabric recipe?curated pack see drafts manifest review note
https://github.com/danileau/prettypleaseprint recipe?curated pack see drafts manifest review note
https://github.com/eloqdata/lavik recipe?curated pack see drafts manifest review note
https://github.com/esengine/DeepSeek-Reasonix recipe?curated pack see drafts manifest review note
https://github.com/fourdollars/rune recipe?curated pack see drafts manifest review note
https://github.com/fstubner/netscli recipe?curated pack see drafts manifest review note
https://github.com/gadzan/xacpx recipe?curated pack see drafts manifest review note
https://github.com/geminik23/ai-agents recipe?curated pack see drafts manifest review note
https://github.com/gigioneggiando/argo recipe?curated pack see drafts manifest review note
https://github.com/ilysenko/codex-desktop-linux recipe?curated pack see drafts manifest review note
https://github.com/inference-gateway/adk recipe?curated pack see drafts manifest review note
https://github.com/jasonssdev/openkos recipe?curated pack see drafts manifest review note
https://github.com/kubescape/node-agent recipe?curated pack see drafts manifest review note
https://github.com/lomi-dev/lomi recipe?curated pack see drafts manifest review note
https://github.com/michaelegner/architecture-intelligence-platform recipe?curated pack see drafts manifest review note
https://github.com/mozilla-ai/otari recipe?curated pack see drafts manifest review note
https://github.com/oaslananka/kicad-mcp-pro recipe?curated pack see drafts manifest review note
https://github.com/rigour-labs/rigour recipe?curated pack see drafts manifest review note
https://github.com/seuros/chaos recipe?curated pack see drafts manifest review note
https://github.com/thibautrey/multivibe recipe?curated pack see drafts manifest review note
https://github.com/unslothai/unsloth recipe?curated pack see drafts manifest review note
https://github.com/vassiliylakhonin/agenda-intelligence-md recipe?curated pack see drafts manifest review note
https://github.com/vshulcz/deja-vu recipe?curated pack see drafts manifest review note
https://github.com/wuisabel-gif/MemWhale recipe?curated pack see drafts manifest review note
https://github.com/yyjeqhc/webcodex recipe?curated pack see drafts manifest review note

0 B across 0 files. Added n/a.

People behind this corpus

Contributors (35)

People whose work this corpus selects or pins, each with their permission.

a86582751@a86582751
Lazaros Avramidis@alexneverland
Ali Ulu@ali-ulu
Alvin Reyes@alvin-reyes
Amir Fathi@AmirF194
ChengAo Shen@ChengAoShen
Chen Zengchun@chenzc24
Danilo Licitra@danileau
Eden Reich@edenreich
Ashutosh Singh@erashu212
Ebrahim@eshirdel
Shih-Yuan Lee@fourdollars
Felix Stubner@fstubner
Gadzan Mak@gadzan
Jaemin Kim@geminik23
gigioneggiando@gigioneggiando
Jyotirmoy Roy@ItsRoy69
Jason@jasonssdev
aq@KHG420
King Alex Gilbert@KingAlexGilbert
Kayvan Sylvan@ksylvan
오티스(otis.sh)@LuceteYang
Matthias Bertschy@matthyx
Michael Egner@michaelegner
minev-dev@minev-dev
Osman Aslan@oaslananka
Zhenyu Huang@rainhuang0220
seuros@seuros
SparkofSpike@SparkofSpike
Szymon Żołnierczyk@Szqub
Thibaut Rey@thibautrey
thweetkomputer@thweetkomputer
Vassiliy Lakhonin@vassiliylakhonin
Vlad Shulcz@vshulcz
Isabel Wu@wuisabel-gif

Upstream authors (15)

Owners of the pinned repositories, credited under each repository's licence. They have not signed up here; their pages are attribution.

agentty-xyz@agentty-xyz · upstream
cascode-ai@cascode-ai · upstream
CatVinci-Studio@CatVinci-Studio · upstream
chattymin@chattymin · upstream
danielmiessler@danielmiessler · upstream
eloqdata@eloqdata · upstream
esengine@esengine · upstream
ilysenko@ilysenko · upstream
inference-gateway@inference-gateway · upstream
kubescape@kubescape · upstream
lomi-dev@lomi-dev · upstream
mozilla-ai@mozilla-ai · upstream
rigour-labs@rigour-labs · upstream
unslothai@unslothai · upstream
yyjeqhc@yyjeqhc · upstream

All contributors.

Rights

?. See per-source review blocks. The review block records a human opening each licence file at the pin. Detector output is a hint, never the verdict.

Retrieval spot-check (G7)

Not yet spot-checked. Queries are pre-registered in the registry before grading.

Agent score

From structured reviews that AI agents send after they use this corpus: through xerj hub pull, MCP queries, or the xerj_corpus_feedback tool. Each review rates usefulness 1–5, whether the answer was found, and freshness. This is not the human hub star count shown above. The two are never mixed.

Loading agent reviews…

Score = Bayesian mean of usefulness (prior 3.0 with weight 5), so a few reviews cannot swing it. One voice per installation per corpus per week; abnormal-volume reviewers are dropped. Coverage gaps appear only once 3 or more agents report the same one. How it works.

Traffic

Traffic stats load from /api/hub-traffic when this page runs JavaScript.

Views: visits to this page (search-engine crawlers excluded). Unique: distinct visitors per day, by a hash salted with the day, so the 14-day unique figure adds up daily uniques. Pulls: growth of the GitHub release download count of this corpus’s pack (xerj hub pull downloads from there; includes our own pack-verification downloads). Searches: hosted-hub queries for this corpus. Referring sites appear after 3 views. What is collected.

Agent usage

Usage stats load from /api/hub-usage when this page runs JavaScript.

Counted: requests agents send to the hosted hub API (hub.xerj.org/api/v1/code, /def) for this corpus. Queries on your own node (xerj code, xerj ask with a local pack, the MCP tools) never leave your machine and are not counted. Templates replace identifiers, versions, paths, numbers and quoted text with placeholders; one is shown only once it has been seen 3 times in 30 days, and any word asked fewer than 3 times shows as <term>. Raw queries are never published. What is collected.