MCP Deep Research Server using Gemini creating a Research AI Agent

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

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

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

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.

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.

Compound Engineering Framework for Alpha Feature Research in Quant Finance

First open-source OpenEvidence MCP server: browser-session medical research tools for Codex, Claude Code, and MCP clients

Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.

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.

Hermes Agent skills and plugins: 350+ tools, memory providers, and guides for Nous Research's agent.

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

Read-only MCP server for Robinhood portfolio research

📖 Cross-agent research paper toolkit for Claude Code, Codex, OpenCode, and DeepSeek Harness—quick summaries, deep study materials, code demos, and a local web viewer.