Conspiracy theories, hidden histories, and suppressed knowledge

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  • License: MIT License
  • Author: Andrew Watts
  • Tags conspiracy , history , secret societies , hidden knowledge , alternative history
  • Requires: Python >=3.10
  • Provides-Extra: bake , scrape , test
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Project description

synomosia

Conspiracy theories, hidden histories, and suppressed knowledge — a curated encyclopedia and live scraper for Python.

Features

  • Curated database of theories, figures, organizations, events, and documents
  • Full-text search with FTS5 fallback to LIKE
  • Topic graph linking related theories and entities
  • Live scraper for Reddit, 4chan boards, and RSS feeds (optional)
  • LLM-powered categorization into 16 conspiracy taxonomy categories (optional)
  • Daily rotating local databases with compression
  • On-demand corpus checkout (downloaded once, cached locally)

Installation

pip install synomosia

With scraping support:

pip install "synomosia[scrape]"   # adds feedparser, requests, beautifulsoup4, praw

Quick start

import synomosia

# Curated database queries
theory = synomosia.GetTheory("Illuminati")
figure = synomosia.GetFigure("John F. Kennedy")
org    = synomosia.GetOrganization("Bilderberg Group")

# Full-text search
results = synomosia.Search("shadow government")
orgs    = synomosia.ByCategory("secret-society")
all_    = synomosia.GetAll("theory")

# Topic graph
related = synomosia.GetRelated("New World Order")
topics  = synomosia.GetTopics("government")
tree    = synomosia.GetTopicTree("deep-state")

# Live scraper — configure sources
synomosia.AddFeed("https://conspiracyarchive.com/feed/")
synomosia.AddSubreddit("conspiracy")       # requires REDDIT_CLIENT_ID env var
sources = synomosia.ListSources()

# Scrape and categorize
synomosia.Scrape()                         # fetch from all sources
synomosia.Categorize(verbose=True)         # LLM categorization (requires LLM backend)
report = synomosia.DailyReport()           # generate today's summary report

# Corpus
synomosia.FetchCorpus("gutenberg-1984")
hits = synomosia.SearchCorpus("surveillance")

LLM-powered categorization

When an LLM backend is available, articles are classified into 16 categories:

government-surveillance, secret-societies, false-flag, extraterrestrial, financial-manipulation, medical-coverup, media-control, religion-occult, geopolitical, technology-control, weather-manipulation, historical-revision, assassination, mind-control, new-world-order, other

Set LLM_BACKEND, LLM_MODEL, etc. — see eyecore for configuration.

Reddit scraping setup

export REDDIT_CLIENT_ID=your_client_id
export REDDIT_CLIENT_SECRET=your_client_secret

Register a read-only script app at reddit.com/prefs/apps.

Part of the Eyes of Azrael suite

Package Description
eyecore Shared foundation (DB, graph, corpus, LLM)
azrael Mythology encyclopedia
synomosia Conspiracy theories and hidden histories
mnema Historical figures and events

License

MIT — see LICENSE

Project details

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Meta
  • License: MIT License
  • Author: Andrew Watts
  • Tags conspiracy , history , secret societies , hidden knowledge , alternative history
  • Requires: Python >=3.10
  • Provides-Extra: bake , scrape , test
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Release history Release notifications | RSS feed

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