Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
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Updated
Sep 8, 2026 - Python
Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
A Python package to simulate, solve and visualize the source-tracking POMDP
Prediction/source tracking of metagenomic samples source using machine learning
A small, docs-first workflow for AI-assisted research that keeps claims, sources, uncertainty, review findings and human decisions inspectable.
A privacy-first Obsidian plugin for recording authorship, sources, rights, consent, and the distinction between verified fact, interpretation, and fiction.
Local-first AI report orchestration system for structured research, source tracking, evidence management, drafting, review, and validation.
This repo is a demonstration of the workflow of the paper: An open-access computational fingerprinting workflow for source classifications of neat gasoline using GC×GC-TOFMS and Machine Learning
The structure of total and viable microbial communities from the atmosphere was monitored during a small snowfall event in the University of Guelph Arboretum. We sought to understand the impact of snowfall to shape the aeromicrobiome alongside influences from surrounding surface environments.
Source and fork tracking engine — registry, lifecycle (bump/rebase/sync), patches, poll/push, CLI. Consumed by OperationsCenter as a library.
TraceRAG is a citation-first RAG system that retrieves answers at sentence-level precision with exact verbatim grounding and structured source traceability.
To associate your repository with the source-tracking topic, visit your repo's landing page and select "manage topics."