MCP Deep Research Server using Gemini creating a Research AI Agent

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

An autonomous agent that conducts deep research on any data using any LLM providers

Anti-hallucination research mode for Claude Code. Toggle on/off to enforce citation requirements and source grounding.

A practical framework for AI-Assisted Research in Mathematics and Machine Learning

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.

Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.

28 plugins and MCP servers for Claude Code — TDD, multi-agent orchestration, iterative refinement, binary RE, structured decisions. Install any skill in one command.

CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.

The agent that grows with you

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

Architecture Deep Research: deep research for strategic system design decisions.

Research that compiles.

Claude Code Plugin for Self-maintaining research knowledge graph for Claude Code + Obsidian

Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

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.

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

README-first research reproduction skills with bounded execution, auditable evidence, and byte-preserving README annotations.

13 curated Agent Skills for research, product decisions, decks, publishing, audits, and more — portable across skills-compatible agents.

Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.

PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.