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MCP verified CC0-1.0 Self-run

Awesome Research Agents

mcp-chrisliu298-awesome-research-agents · by chrisliu298

A curated collection of research agents, skill libraries, autonomous research loops, paper-writing pipelines, MCP servers, and benchmarks built around Claude Code, OpenAI Codex CLI, and adjacent coding-agent CLIs for AI/ML research.

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Install

$ agentstack add mcp-chrisliu298-awesome-research-agents

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

🔍 Awesome Research Agents

Curated resources for building, evaluating, and stress-testing research agents around Claude Code, OpenAI Codex CLI, and adjacent coding-agent CLIs — across AI/ML research workflows: literature, hypothesis design, implementation, experiments, analysis, writing, review, rebuttal, and project memory.

New here? Read [Start Here](#start-here). Shipping a workflow? Skip to [Coding-Agent Substrates and Hosts](#coding-agent-substrates-and-hosts) and [Skills, Workflow Packs, and Reusable Procedures](#skills-workflow-packs-and-reusable-procedures).

> If you maintain a research-agent project that should be on this list, or spot a mistake, broken link, or stale entry, please open an issue or pull request.

Contents

  • [Start Here](#start-here)
  • [Research Stage Map](#research-stage-map)
  • [Coding-Agent Substrates and Hosts](#coding-agent-substrates-and-hosts)
  • [Skills, Workflow Packs, and Reusable Procedures](#skills-workflow-packs-and-reusable-procedures)
  • [Literature Discovery and Evidence Grounding](#literature-discovery-and-evidence-grounding)
  • [Lab Integrations, Notebooks, Experiment Tracking, and Memory](#lab-integrations-notebooks-experiment-tracking-and-memory)
  • [Autonomous Execution Loops](#autonomous-execution-loops)
  • [End-to-End Research and Hypothesis Systems](#end-to-end-research-and-hypothesis-systems)
  • [Manuscript, Figure, Reproduction, and Paper-to-Agent Systems](#manuscript-figure-reproduction-and-paper-to-agent-systems)
  • [Review and Rebuttal Systems](#review-and-rebuttal-systems)
  • [Benchmarks and Research Arenas](#benchmarks-and-research-arenas)
  • [Practitioner Reports, Methodology Essays, and Agent Frameworks](#practitioner-reports-methodology-essays-and-agent-frameworks)
  • [Open Problems and Gaps](#open-problems-and-gaps)
  • [Contributing](#contributing)
  • [Citation](#citation)
  • [License](#license)

Tagging

Tags are conservative and used for within-section ordering (CLI-native → CLI-compatible → adjacent):

  • CLI-native — ships explicit Claude Code/Codex skills, configs, docs, or workflows.
  • CLI-compatible — usable from these CLIs but not primarily built for them.
  • adjacent — informs research-agent design without being a CLI workflow.

Start Here

  1. Claude Code — core Claude-native substrate: repo editing, shell, skills, hooks, subagents, memory, MCP.
  2. OpenAI Codex CLI / Codex — OpenAI-native substrate: local CLI, AGENTS.md, skills, MCP, cloud/background tasks, parallel work.
  3. AI-Research-SKILLs — broadest reusable research-skill library before writing your own.
  4. ARIS — strongest Claude/Codex-facing autonomous research loop with claim-audit patterns.
  5. PaperOrchestra — main paper-writing and figure-generation reference.
  6. PaperQA2 — literature-grounded retrieval instead of model memory for citations.
  7. ResearchArena (CLI-agent arena) — calibrates expectations on direct CLI research-agent evaluation.
  8. Stop Automating Peer Review Without Rigorous Evaluation — read before deploying review/rebuttal agents.
  9. AI for Auto-Research: Roadmap & User Guide — comprehensive lifecycle survey of the whole field as one map.

Research Stage Map

| Stage | Useful entries | |---|---| | Idea & literature | AI-Research-SKILLs, ARIS, PaperQA2, LitLLM, OpenScholar, OpenNovelty, STORM, ResearchAgent, ai-skill-scholar, paper-search-mcp | | Experiment design | ARIS, The Agentic Researcher, Agent Laboratory, AI co-scientist, EvoScientist, AAAR-1.0 | | Coding | Claude Code, OpenAI Codex CLI, Aider, Gemini CLI, OpenHands, PaperCoder / Paper2Code | | Execution | ARIS, W&B MCP Server, MLflow MCP Server, MLE-bench, MLAgentBench, CORE-Bench, RE-Bench, tinyKaggleClaw | | Analysis | Jupyter MCP Server, W&B Skills, MLflow MCP Server, data-to-paper, PaperOrchestra | | Writing | PaperOrchestra, Agent Laboratory, The AI Scientist, data-to-paper, GPT Researcher | | Peer review | ResearchArena, Stanford Agentic Reviewer, AgentReview, The AI Scientist, LLM-REVal, Re2 | | Rebuttal | Paper2Rebuttal, DRPG, ARIS, claude-code-my-workflow, ICML 2026 Peer Review FAQ | | Project memory | Claude Code, OpenAI Codex CLI, Letta Code, Obsidian Memory, Zotero MCP / ZotPilot, PARNESS, AgentRxiv |

Coding-Agent Substrates and Hosts

  • Claude Code (2025, [CLI-native]) — Terminal-native coding agent that reads repos, edits files, runs commands, and composes with CLAUDE.md, skills, subagents, hooks, permissions, MCP, and SDK workflows.
  • OpenAI Codex CLI / Codex (2025, [CLI-native]) — Local and cloud/background coding agent with AGENTS.md, skills, MCP, subagents, worktrees, and parallel task support for implementation, evals, analysis, and reports.
  • OpenAI Codex cloud/background tasks (2026, [CLI-native]) — Codex web/cloud mode for delegating tasks into isolated GitHub-connected environments; maps to ablations, eval additions, and report-generation threads.
  • Aider (2023, [CLI-compatible]) — Terminal pair-programming agent with repo maps, file editing, lint/test loops, broad model support, and automatic git commits.
  • Gemini CLI (2025, [CLI-compatible]) — Open-source terminal agent with file tools, shell, web fetch, Google Search grounding, MCP, and GEMINI.md customization.
  • OpenHands (2024, [CLI-compatible]) — Model-agnostic software-agent platform with SDK, CLI, local GUI, cloud/enterprise modes, and benchmark infrastructure.
  • goose (2025, [CLI-compatible]) — Provider-agnostic agent for code, workflows, research, writing, automation, and data analysis with MCP extensions, recipes, subagents, and CLI/desktop/API modes.
  • Cursor (2023, [adjacent]) — IDE-oriented coding agent frequently mentioned as a compatible host for skill packs and MCP workflows.

Skills, Workflow Packs, and Reusable Procedures

  • Anthropic Agent Skills and Claude Code skills (2025, [CLI-native]) — Skills as progressively loaded folders with SKILL.md, scripts, resources, and optional dynamic context; native packaging pattern.
  • OpenAI Codex Skills and plugins (2026, [CLI-native]) — Codex skills with progressive disclosure, skill locations, and plugin packaging for skills, app mappings, and MCP config.
  • AI-Research-SKILLs (2026, [CLI-native]) — Broad skill library across ideation, literature, model work, evaluation, MLOps, agents, RAG, and paper writing for Claude Code, Codex, and Gemini-style hosts.
  • academic-research-skills (2026, [CLI-native]) — Claude Code skill suite for academic research, writing, review, revision, finalization, response-to-reviewer artifacts, integrity reports, reviewer simulation, and reproducibility checks.
  • claude-code-my-workflow (2026, [CLI-native]) — Personal Claude Code setup for papers, slides, data analysis, replication packages, preregistration, review, and referee responses; notable "contractor mode" and adversarial QA loops.
  • claude-scholar (2026, [CLI-native]) — Semi-automated research assistant for CS/AI across literature, coding, experiments, reports, writing, rebuttal, and knowledge management; skills + commands + agents + rules + hooks + Zotero + optional Obsidian.
  • W&B Skills (2026, [CLI-native]) — Installable Claude Code / Codex skills for W&B experiments, traces, evals, and reports (training, run comparison, failure-mode analysis, report generation).
  • Organon (2026, [CLI-native]) — Claude Code scientific OS covering literature search, hypothesis testing, data analysis, manuscript drafting, scheduled jobs, and science communication, with verification gates that block fabricated citations and unsupported claims.
  • MedSci Skills (2026, [CLI-native]) — Medical-science Claude Code skill suite (~39 skills) across topic discovery, literature search, study design, statistics, figures, writing, compliance, peer review, revision, and presentations with PubMed/Semantic Scholar/CrossRef-verified citations.
  • Claude Code for an Academic Researcher (2026, [CLI-native]) — Full Claude Code infrastructure for academics with 48 skills, 6 agents, 9 hooks, rules, context libraries, LaTeX, bibliography tooling, Notion integration, and reviewer roles (domain reviewer, paper critic, peer reviewer, referee).
  • scientific-agent-skills (2026, [CLI-compatible]) — Agent Skills catalog across biology, chemistry, medicine, ML, materials, physics, engineering, data analysis, and scientific communication with Cursor / Claude Code / Codex compatibility.
  • ai-skill-scholar (2026, [CLI-compatible]) — Three skills for scholarly search, citation analysis, and literature review via OpenAlex; two-pass orchestrator with persistent session state.
  • EvoSkills (2026, [CLI-compatible]) — Installable research-skill library for ideation, paper planning, experiment pipelines, writing, review, rebuttal, memory, paper navigation, and surveys across Claude Code, Codex, Gemini CLI, Cursor, OpenCode, and DeepAgents.
  • ML Experiment Tracking Setup skill (2026, [CLI-compatible]) — Skill for scaffolding MLflow or W&B experiment-tracking before agent-driven iteration; verify adoption before depending on it.
  • ResearchClaw (2025, [CLI-compatible]) — Personal research assistant exposing extensible skills for retrieval, analytics, code execution, and document understanding.

Literature Discovery and Evidence Grounding

  • paper-search-mcp (2026, [CLI-native]) — Searches and downloads papers from arXiv, PubMed, bioRxiv via MCP tools and a Claude Code skill; discovery layer only — ranking discipline still needed.
  • LitLLM (2025, [CLI-native]) — Literature-review toolkit and Claude Code skill for retrieving, ranking, and synthesizing related work over OpenAlex, Google Scholar, embedding search, and LLM reranking.
  • PaperQA2 (2024, [CLI-compatible]) — Scientific RAG over papers, text, Office files, and code with cited evidence; callable as a literature-QA backend for related work, contradiction checks, paper writing, and rebuttals. [](https://github.com/future-house/paper-qa)
  • GPT Researcher (2024, [CLI-compatible]) — Long-form cited research reports over web and local sources with planning, crawling, source tracking, MCP, and Claude Skill install; scholarly claims still need verification.
  • Zotero MCP / ZotPilot (2025, [CLI-compatible]) — Zotero library, citations, summaries, PDFs, and annotations via MCP; ZotPilot adds semantic search and lit-review drafting over local data.
  • semantic-scholar-mcp (2026, [CLI-compatible]) — Lightweight MCP server for searching and analyzing papers through the Semantic Scholar API; unofficial and small.
  • arxiv-mcp-server (2025, [CLI-compatible]) — Search, download, store, and analyze arXiv papers via MCP, with security guidance on adversarial paper text and prompt injection.
  • PubMed MCP Server (rolling, [CLI-compatible]) — PubMed / NCBI E-utilities MCP with article search, retrieval, research-plan generation, filtering, citation analysis, metadata visualization, and biomedical research-agent scaffolding.
  • ChatPaper (2023, [CLI-compatible]) — Open-source paper-summarization and literature-synthesis tool widely adopted as an early LLM-assisted reading workflow.
  • Tongyi DeepResearch (2025, [CLI-compatible]) — Alibaba open-source agentic LLM specialized for long-horizon deep information seeking and report synthesis.
  • OpenScholar (2024, [adjacent]) — Retrieval-augmented scholarly assistant over a large open-access corpus with ScholarQABench-style evaluation; canonical grounding layer, not a CLI workflow. [](https://github.com/akariasai/openscholar)
  • STORM (2024, [adjacent]) — Long-form grounded articles via perspective discovery, simulated writer-expert chat, outline organization, and drafting from retrieved sources; Co-STORM adds collaborative discourse. [](https://github.com/stanford-oval/storm)
  • Gemini Deep Research Agent (2026, [adjacent]) — API-level deep-research agent for planning, executing, and synthesizing multi-step research with background execution, planning viz, MCP, and document input.
  • OpenNovelty (2026, [adjacent]) — Agentic novelty-assessment pipeline that extracts claims, retrieves prior work, builds a hierarchical taxonomy, compares contributions against full texts, and produces evidence-grounded novelty reports. [](https://github.com/january-blue/OpenNovelty)
  • LitLLM (paper) (2024, [adjacent]) — Literature-review toolkit paper integrating LLMs with academic databases for dense retrieval over scientific corpora.
  • PaSa (2025, [adjacent]) — LLM agent for academic search that issues follow-up queries and iteratively refines candidate paper sets like a human probing a topic.
  • AutoSurvey (2024, [adjacent]) — Single-pass automated survey-writing system establishing baseline feasibility for turning retrieved literature into structured drafts.
  • SurveyX (2025, [adjacent]) — Academic survey-automation system evaluated separately on content quality, structure quality, and citation accuracy.
  • SurveyForge (2025, [adjacent]) — Survey-writing system learning outline heuristics from human surveys and using memory-driven content generation.
  • LiRA (2025, [adjacent]) — Multi-agent literature-review generator splitting retrieval, verification, organization, and writing into specialized roles.
  • Agentic AutoSurvey (2025, [adjacent]) — Agentic survey-generation workflow with dedicated agents for retrieval, organization, and narrative synthesis.
  • IterSurvey (2025, [adjacent]) — Literature-survey agent treating outline generation as iterative planning with stability checks.
  • InteractiveSurvey (2025, [adjacent]) — Interact

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.