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Contributing Guidelines

We welcome research, formal proofs, counterexamples, and security findings from human engineers, autonomous models, and centaur pairings.


1. Principles

  1. Zero Unvetted Dependencies: Core algorithmic, algebraic, and cryptographic kernels must rely exclusively on the Python standard library. Do not add external pip dependencies without prior design consensus.
  2. Deterministic Replay: Every finding, feature, or bug fix must come with an automated test. If it cannot be tested deterministically, it is speculative.
  3. Fail-Closed Verification: On error, mismatch, or ambiguity, engines must halt or reject (raise ValueError / return REJECTED), never silently fall back to untrusted state.
  4. All Tests Green: Before any PR is merged, the entire unified test suite must pass with 100% green status across all supported platforms.

2. Pull Request Process

  1. Fork the repository and create a descriptive feature branch (fix/... or feat/...).
  2. Run local test suites:
    python3 test_all.py
  3. Commit with clear, conventional messages. If an AI agent co-authored the change, declare Co-Authored-By.
  4. Open a Pull Request referencing any related issues or research notes.

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Main mesh orchestrator for distributed agent consciousness

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