Competition Solution · Python

mgvs

karims@karims · Atlas 67.7 · #7= builder

What it is

mgvs is a research/competition codebase for Markov-Guided Verified Search, a solver that uses LLMs to propose bounded actions on a symbolic reasoning state with verification and beam search.

Scored from the code at its last scan, 24 Oct 2026. How merit is scored

Where it counts

NLP & LLMs90%
AI Agents70%
Machine Learning30%
MLOps20%
Data Science10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the NLP & LLMs board

Whole board

RankProjectBuilderFieldMerit

22c3pa-explorerAI Developer Tool · JavaScriptC3PA Explorer is a web application for exploring the C3PA privacy policy dataset, featuring a deterministic rule-based extraction pipeline and dual-mode operation (FastAPI backend or browser-based sql.js edition) for data inspection, alignment verification, and export of…59.8/100AdvancedJarad PeckenpaughNLP & LLMs
23Agent-BrowserML Application · PythonNexusOS-Ultra is a local-first AI workspace that integrates a Next.js dashboard, FastAPI gateway, LLM router, file mesh, self-evolution daemon, and Skyvern-based browser automation to provide a private AI environment for macOS users.59.6/100AdvancedCryptostonerNLP & LLMs
24, shared rankzotero-redisearch-ragML Application · TypeScriptZotero Research Assistant for Obsidian is a plugin that imports Zotero items, extracts PDF text (with OCR fallback), indexes chunks in Redis 8, and provides a Retrieval-Augmented Generation chat interface with clickable citations inside Obsidian notes.59.3/100AdvancedJens MittelbachNLP & LLMs
24, shared rankmgvsCompetition Solution · Python59.3/100AdvancedkarimsNLP & LLMs
26rag-data-synthesizerAI Developer Tool · PythonRAG Data Synthesizer is a toolkit for generating synthetic document collections (including Markdown source, visual assets, and rendered PDFs) for retrieval-augmented generation (RAG) development and evaluation, featuring scenario-neutral scripts for SVG generation and PDF…58.6/100AdvancedJarad PeckenpaughNLP & LLMs

What it is

Where it counts

Around it on the NLP & LLMs board

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