MCP Deep Research Server using Gemini creating a Research AI Agent

AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.

AI-powered LinkedIn content generator with text, image & carousel posts. Features smart AI research, content calendar, batch generation, and direct LinkedIn posting via OAuth. Built with React, TypeScript & Gemini AI.

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

An Agent Skill to watch the deadlines of latest AI conference.

Curated list of AutoResearch use cases with optimization traces and open source implementations

A collection of servers which are deliberately vulnerable to learn Pentesting MCP Servers.

NotebookLM does the research, Claude writes the content. Research → Synthesis → Content Creation → Publishing. Claude Code Skill + MCP Server.

Autonomous AI backend for deep research AI applications.

Umbrella package for SciTeX — reproducible science from raw data to manuscript

Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.

A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.

Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.

Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.