Agentic Research Directory

Framework

YenochQin/llm-wiki

A personal research-wiki workflow for Claude Code or Codex, with Zotero-backed paper ingestion, MinerU PDF conversion and cited wiki queries.

Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here

Research applicability

README documents Zotero-backed paper ingestion, PDF conversion and cited wiki queries driven by a user in Claude Code or Codex.

Getting started

uv, Python >=3.10, Claude Code or Codex, and default MinerU API token; optional local backend requires model storage. User configures external content paths.

Maintenance

Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.

License

Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.

Workflow & human oversight

Workflow level unassigned: Users select ingestion/query commands and raw originals are read-only to the LLM, but validation of generated wiki claims is not specified. Missing checking instructions; inspect canonical relevant skill next. Human control/boundary: Users select ingestion/query commands and raw originals are read-only to the LLM, but validation of generated wiki claims is not specified. Missing checking instructions; inspect canonical relevant skill next.

Workflow level is not an evidence score; higher is not better evidence.

Approach

README documents Zotero-backed paper ingestion, PDF conversion and cited wiki queries driven by a user in Claude Code or Codex. Documented steps: User configures sources → ingest DOI/local PDF → convert/store structured knowledge → user asks cited question. Human validation/stopping rules not captured.

Outcomes (as reported by the originating team)

Author reports or documentation only, not independently reproduced. No independent reproduction was performed here.

Limitations

README only; no citation or conversion accuracy established. Default cloud PDF backend can process user documents externally; assess rights and provider handling before use.

Reproducibility

Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.

Adoption requirements

uv, Python >=3.10, Claude Code or Codex, and default MinerU API token; optional local backend requires model storage. User configures external content paths.

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