Autonomous ML research framework using cross-model adversarial review — Claude Code executes experiments while GPT reviews and finds weaknesses. Covers the full research lifecycle from literature review to submission-ready manuscript. Requires dual LLM subscription. MIT licensed, Markdown-only, zero framework dependencies.
AI pipeline that converts any document into a fully editable native PowerPoint — real shapes, text boxes, and charts, not embedded screenshots. v2.7.0 adds live preview annotation, template cloning, 14+ image backends, and voice cloning narration. High token cost (~100K per run) and sequential generation mean it's built for formal deliverables, not quick drafts. MIT, 17K stars, Python-based.
An open-source recursive LLM-powered investigation agent that performs entity resolution across heterogeneous datasets (corporate filings, campaign finance, government contracts) and renders knowledge graphs in real-time via Cytoscape.js. Built with Tauri 2, MIT licensed, positioned as Palantir's community edition. 1,600 Stars in two months.
A Rust-based microservices platform aiming to replicate Palantir Foundry's core capabilities as open-source. Covers ontology modeling, data pipeline versioning, AI agent integration, and workflow automation. Architecture documentation is exceptional, but the project remains in very early development (12 Stars, no release).
The highest-starred meta-skill in the Claude Code ecosystem (17.2k Stars). Automatically distills public figures' cognitive frameworks into executable Skills via 6 parallel research agents and Triple-Verification filtering. MIT licensed, free to use.
A document design system for the AI era. Uses constrained HTML/CSS/SVG rulesets to unify the visual language of eight professional document types. Natively integrates as a Claude Code Skill — AI auto-detects intent and generates print-ready PDFs with 14 built-in SVG chart types. 4,400+ Stars in two weeks, MIT licensed.