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PyAutoMemory

PyAutoMemory

PyAutoScientist GitHub PyAutoScientist ReadTheDocs

knowledge

PyAutoMemory is the Memory of the PyAutoScientist — the long-term memory of the organism: what it has learned, distilled into cross-linked LLM wikis — literature summaries, scientific concepts, and the citation metadata to verify them. Memory holds what the science says; what the organism did lives in the Mind. Source PDFs live off-repo; what's here is the durable knowledge. Start at index.md.

See the PyAutoMemory Dashboard for managing all of it from one page: the reading queue, the paper sections still needing a canonical citation key, and each sub-wiki's maturity — every work queue carrying a one-tap 📋 button that copies a paste-ready Claude prompt (file the next paper, resolve keys, upgrade a stub, or /memory <domain> to recall what's known).

Current contents

🧠 166 pages · 69 drafted · 40% of 645 paper sections cite a resolved key · 230 papers queued · dashboard →

The sub-wikis

Self-contained, shared schema:

Wiki Covers
wiki/lensing/ strong gravitational lensing (the primary wiki)
wiki/smbh/ supermassive black holes, binaries, recoil, GW background
wiki/cti/ charge transfer inefficiency, Euclid VIS calibration
wiki/methods/ Bayesian inference, samplers, deep learning, simulations
wiki/galaxies/ galaxy formation and evolution

bibliography/ holds the canonical BibTeX metadata every wiki cites against; reading-queue.md is what's waiting to be read and filed. New knowledge updates the metadata and the claim support together, then passes make validate (CI-enforced on every push).

The wiki schema is defined in wiki/CLAUDE.md and inherited by every sub-wiki. How agents should read this repo: AGENTS.md. The organism this repo is the Memory of: PyAutoBrain/ORGANISM.md, documented in full at https://pyautoscientist.readthedocs.io.

Licence: structure and tooling MIT; wiki content CC BY 4.0 — see LICENSE.

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The Memory of the PyAuto organism: accumulated knowledge — papers, LLM-readable sub-wikis and reference material for PyAuto science.

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