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karangupta8

Discover Anything

by karangupta8

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to search and reference trusted, out-of-band ingested source state, run claim-bound document reviews, validate evidence-status proposals against admissibility guards, and build evidence matrices. It keeps proposal, evidence, admissibility, and adjudication separate so agents can propose epistemic statuses without creating the source facts, page locators, provenance, or missingness records that support them.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.
      27
      5
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents and MCP clients to run research as an explicit scientific process: forming hypotheses, designing and executing sealed experiments, capturing observations and artifacts, linking claims to supporting evidence, and reviewing provenance. Exposes coordinated MCP services so users can inspect, reproduce, and audit every step from question to conclusion rather than trusting an opaque final answer.
      46
      1,362 PyPI
      21
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.
      47
      1
      MIT