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Graph and knowledge navigation with decision models

Choosing which edge, link or node to follow next when walking a knowledge graph, wiki or taxonomy.

16 public projects

  • Local-first Windows writing studio with knowledge graphs and author voice, where optional Jev evaluates candidates and editorial decisions.

    ProjectbetaTypeScript
  • Fifteen live arcade games where Jev and LLMs play each other, led by WikiRace in which Jev picks only real links.

    ProjectbetaTypeScript
  • Terminal tool that finds link paths between Wikipedia articles: Jev ranks each page's outgoing links while Python runs the search.

    ProjectbetaPython
  • Linter for Obsidian vaults and LLM wikis that flags contradictions, stale claims, unresolved markers and dangling links with Jev.

    ProjectbetaPython
  • On-call tooling where Jev judges alerts and incident hypotheses and plain code decides: alert routing plus a no-LLM root-cause benchmark.

    ProjectbetaPython
  • npm library that walks a taxonomy with one Jev Choice per level so you can select among thousands of leaves despite the 255-option cap.

    ProjectbetaTypeScript
  • Milvus-based multi-hop graph RAG library where two-stage Jev Noul scoring selects relations and reranks passages.

    LibrarybetaPython
  • Windows file organiser that uses Jev Choice and Noul to suggest which folder a new file belongs in and to drill down to find files.

    ProjectprototypeTypeScript
  • Neo4j demos using Jev as a calibrated judge in GraphRAG pipelines, starting with entity resolution and a review queue.

    AppprototypePython
  • Graph-database-agnostic GraphRAG framework where swappable Laya or Jev decisions score edges, route intents and gate hallucinations.

    ServicebetaPython
  • neo4jev★ 173

    Demo that navigates a Neo4j graph hop by hop, asking Jev which relationship to follow and whether the goal is reached.

    LibraryprototypePython
  • CLI and agent skill that shortlist notes in Obsidian or Logseq locally, then have Jev rerank them, returning original passages.

    DemobetaJavaScript
  • Open protocol for decision-based agents: apps expose evidence and typed decisions, Jev assesses, and app code guards commits.

    AppprototypeTypeScript
  • Training library for a small one-pass model that scores a changing list of text options and returns a probability per option.

    LibraryresearchPython
  • Independent experiments on Jev for search stopping, memory reranking and multi-hop relation selection, with stated limits.

    Articleresearch
  • X demo where Jev picks which candidate link to click on a page to move toward a goal.

    Discussiondiscussion

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