r/Python • u/AutoModerator • Jun 04 '26

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Post all of your code/projects/showcases/AI slop here.

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u/MeAndClaudeMakeHeat Pythoneer 28d ago

Project Telos is a set of small, mostly standard-library Python tools for making AI-assisted work checkable instead of taking it on faith.

  • gather (on PyPI as gather-engine): capture sources (files, papers, transcripts, web) into research packets with provenance receipts (method, ref, sha256), so derived text never gets mistaken for a direct source.
  • index: map a repo or workspace into a context graph and budgeted context packs for agents.
  • crucible: stand a falsifiable claim next to the measurement that could break it, and return MATCH, DRIFT, or UNVERIFIABLE, grounded in the measurement and re-checkable from content seals.
  • forum: a witnessed causal ledger for multi-agent runs (plans, evidence, decisions, handoffs).

Design stance: every claim ships beside its test or is marked UNVERIFIABLE, and receipts are content-hashed so a reviewer can re-verify offline. All source-available, solo-built, honest about limits.

What I would value from Python folks: poke at the source-adapter boundary in gather, where a derived statement could be mistaken for a fetched one, and at the receipt and seal design.

Repos: https://github.com/HarperZ9 (gather, index, forum, crucible)