adalflow
reference corpus · status live · domain AI (AI, prompts and agents) · lane A · refresh pinned · tags GLOBAL · LLM-FRAMEWORK · PROMPT-OPTIMIZATION · RAG · AUTO-PROMPT
What an agent uses it for
An agent building a trainable LLM pipeline queries this for prompt/parameter optimization and retriever-generator composition.
curl -fsSLO https://raw.githubusercontent.com/xerj-org/xerj/corpus-hub/tools/xerj-code/hub/adalflow.jsonxerj corpus add --from ./adalflow.jsonxerj corpus index adalflow then xerj code adalflow "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: "adalflow", once the corpus is indexed on the node.
Sources and pins
| source | pin | licence | size | review note |
|---|---|---|---|---|
| AdalFlow | 810de99d8619 | MIT | 41.4 MB / 594 files | licence host-verified (ok-spdx): MIT |
41.4 MB across 594 files. Added 2026-10-13.
Rights
MIT. Redistribution permitted with attribution per the licence review. 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.