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xngg1021

io.github.xngg1021/academic-research-kernel

by xngg1021

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      Enables creation and invocation of reusable research workflow programs derived from demonstrations, with live scholarly data search and workspace automation via multiple protocols.
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      Gives existing agents controlled access to a local Neo4j research memory, letting them import papers and notes, record models, experiments, evidence and decisions, search full text plus graph neighbors, and resume bounded research sessions with checkpoints and provenance. Twelve stdio tools and seven companion skills turn reading, extraction and handoffs into auditable, revision-checked records.
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    • A
      license
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      Makes AI research agents accountable by giving every conclusion a traceable argument graph. Provides a persistent argument graph where claims require grounds and warrants for auditable, verifiable reasoning.
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