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    • A
      license
      A
      quality
      B
      maintenance
      PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
      6
      20 PyPI
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides a local offline physics/chemistry simulation bench covering 12 domains, where plain-language intents are converted into simulation blueprints, solved with deterministic proof metrics, and exported to STL/OBJ — no cloud, API key, or LLM required.
      4
      92 npm
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Verified unit conversion and dimensional analysis for AI agents. 190+ units, 31 domain formulas (clinical, physics, aerospace, SRE), physical constants with uncertainty propagation. Refuses invalid conversions structurally: the tool that won't convert mg to mL and knows the difference between torque and energy.
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables LLMs and agents to check their own work by calling tools instead of trusting assertions, covering symbolic math identities, sandboxed Python execution, JSON-Schema validation, dimensional analysis, and regex testing. Runs over stdio or streamable HTTP for use in Claude Desktop and remote gateway deployments.
      5
      MIT
    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides deterministic, verifiable text/code/measurement utilities for AI agents, enabling tasks like unit conversion, citation formatting, diffing, proofreading, readability scoring, and syntax checking with re-executable proof.
      MIT