Alternatives

Awesome Deep Research Agent alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Awesome Deep Research Agent

ai-agents-2030/awesome-deep-research-agent is a high-star GitHub project relevant to AI agent workflows.

53
Quality
73
Trust
634
Stars
#1

DeepResearch

Similarity 117Trust 85Excellent 97

Tongyi Deep Research, the Leading Open-source Deep Research Agent

20K starsFeb 27, 2026 pushresearchPythonResearch Agent
$ npx skills add Alibaba-NLP/DeepResearch
#2

Local Deep Research

Similarity 102Trust 87Excellent 99

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

8.7K starsJul 18, 2026 pushresearchPythonResearch
$ npx skills add LearningCircuit/local-deep-research
#3

GPT Researcher

Similarity 102Trust 85Excellent 100

Run autonomous deep research over web and local sources

30K starsAug 27, 2026 pushresearchPythonResearch Agent
$ npx skills add assafelovic/gpt-researcher
#4

Last30days Skill

Similarity 97Trust 90Excellent 100

Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.

64K starsOct 7, 2026 pushresearchPythonClaude Code
$ npx skills add mvanhorn/last30days-skill -g
#5

Academic Research Skills

Similarity 96Trust 85Excellent 100

Academic Research Skills for Claude Code: research → write → review → revise → finalize

38K starsJul 18, 2026 pushresearchPythonResearch
$ npx skills add Imbad0202/academic-research-skills
#6

nature-writing

Similarity 95Trust 80Excellent 100

Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人.

39K starsSep 2, 2026 pushresearchClaude Code
$ npx skills add Yuan1z0825/nature-skills --skill nature-writing
#7

Academic Research Skills Codex

Similarity 91Trust 82Excellent 95

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

3.8K starsJun 14, 2026 pushresearchPythonResearch
$ npx skills add Imbad0202/academic-research-skills-codex
#8

mono-color

Similarity 83Trust 81Excellent 100

Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.

1.9K starsSep 1, 2026 pushresearchClaude Code
$ npx skills add yanliudesign/mono-color-skill --skill mono-color
#9

Deer Flow

Similarity 77Trust 89Excellent 100

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

71K starsJun 14, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add bytedance/deer-flow
#10

TradingAgents

Similarity 77Trust 87Excellent 100

TradingAgents: Multi-Agents LLM Financial Trading Framework

88K starsJun 22, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents
#11

Google Research

Similarity 77Trust 87Excellent 100

Google Research

38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research
#12

Vibe Kanban

Similarity 76Trust 88Excellent 100

Get 10X more out of Claude Code, Codex or any coding agent

28K starsSep 19, 2026 pushagent-frameworksRustAI Agents
$ npx skills add BloopAI/vibe-kanban
#13

Hello Agents

Similarity 76Trust 84Excellent 100

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

59K starsJun 11, 2026 pushdataPythonRAG
$ npx skills add datawhalechina/hello-agents
#14

Continue

Similarity 76Trust 83Excellent 100

open-source coding agent

34K starsJun 16, 2026 pushcoding-agentsTypeScriptCoding Agent
$ npx skills add continuedev/continue
#15

RD Agent

Similarity 75Trust 89Excellent 100

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

13K starsJun 15, 2026 pushautomationPythonAutomation
$ npx skills add microsoft/RD-Agent
#16

Hermes Webui

Similarity 75Trust 87Excellent 100

Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!

15K starsJun 23, 2026 pushagent-frameworksPythonAI Agents
$ npx skills add nesquena/hermes-webui

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Awesome Deep Research Agent if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.