Comparison
LLMSurvey vs LLM-Agent-Paper-List
LLMSurvey (A Survey of Large Language Models) vs LLM-Agent-Paper-List (Must-read papers for LLM-based agents.) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · LLMSurvey alternatives · LLM-Agent-Paper-List alternatives
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Tagline
- LLMSurvey
- A Survey of Large Language Models
- LLM-Agent-Paper-List
- Must-read papers for LLM-based agents.
Stars
- LLMSurvey
- 12k
- LLM-Agent-Paper-List
- 8.2k
Forks
- LLMSurvey
- 935
- LLM-Agent-Paper-List
- 493
Open issues
- LLMSurvey
- 30
- LLM-Agent-Paper-List
- 25
Language
- LLMSurvey
- Python
- LLM-Agent-Paper-List
- -
Adopt for
- LLMSurvey
- LLMSurvey is a Python-based repository designed to collect and organize research papers concerning large language models, enabling users to stay updated with recent advancements in LLM research.
- LLM-Agent-Paper-List
- LLM-Agent-Paper-List is a curated collection of research papers focused on developing Large Language Model (LLM)-based AI agents. It links to frameworks like AgentGym-RL for reinforcement learning and tutorials for agent
Persona
- LLMSurvey
- -
- LLM-Agent-Paper-List
- -
Runtime
- LLMSurvey
- -
- LLM-Agent-Paper-List
- -
License
- LLMSurvey
- -
- LLM-Agent-Paper-List
- The repository license and language information are currently unknown.
Last pushed
- LLMSurvey
- Mar 11, 2025
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- LLMSurvey
- LLM Frameworks, Developer Tools
- LLM-Agent-Paper-List
- AI Agents, Inference & Serving
Trust and health
Maintenance
- LLMSurvey
- Dormant (18%)
- LLM-Agent-Paper-List
- Slowing (36%)
Days since push
- LLMSurvey
- 484d
- LLM-Agent-Paper-List
- 300d
Open issues (now)
- LLMSurvey
- 30
- LLM-Agent-Paper-List
- 25
Owner type
- LLMSurvey
- Organization
- LLM-Agent-Paper-List
- User
Full report
- LLMSurvey
- Trust report
- LLM-Agent-Paper-List
- Trust report
Typed relationship
LLMSurvey successor LLM-Agent-Paper-ListThis repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research.Coexists - Both repositories serve similar purposes but with different focuses; WooooDyy's list emphasizes LLM agents.
Choose LLMSurvey if…
- This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research.
- Tags unique to LLMSurvey: llms, chain-of-thought, instruction-tuning, natural-language-processing.
- Also covers LLM Frameworks, Developer Tools.
- When developing or researching projects related to large language models.
When NOT to use LLMSurvey
- If your focus is on practical, hands-on application rather than theoretical research or academic study.
- When looking for immediate, executable LLM frameworks instead of a curated collection of papers and resources.
- For projects requiring real-time data integration with specific programming tasks not covered by paper references.
Choose LLM-Agent-Paper-List if…
- Requirements: The tool is aimed at researchers and developers interested in the theoretical foundations of LLM-based agents..
- This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research.
- Tags unique to LLM-Agent-Paper-List: nlp, survey, agent.
- Also covers AI Agents, Inference & Serving.
- You need an overview of the latest advancements in LLM-based agents.
When NOT to use LLM-Agent-Paper-List
- For general-purpose development tools or libraries for building AI applications, focus instead on broader, more comprehensive repositories or frameworks.
- If you need hands-on code solutions without context, LLM-Agent-Paper-List might not be the immediate go-to source as it emphasizes research-driven content over practical coding examples or full-blown,
Explore
LLMSurvey trust report →LLM-Agent-Paper-List trust report →LLM Frameworks category →Developer Tools category →AI Agents category →Inference & Serving category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between LLMSurvey and LLM-Agent-Paper-List?
- LLMSurvey: A Survey of Large Language Models. LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMSurvey over LLM-Agent-Paper-List?
- Choose LLMSurvey over LLM-Agent-Paper-List when This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research; Tags unique to LLMSurvey: llms, chain-of-thought, instruction-tuning, natural-language-processing; Also covers LLM Frameworks, Developer Tools; When developing or researching projects related to large language models.
- When should I choose LLM-Agent-Paper-List over LLMSurvey?
- Choose LLM-Agent-Paper-List over LLMSurvey when Requirements: The tool is aimed at researchers and developers interested in the theoretical foundations of LLM-based agents.; This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research; Tags unique to LLM-Agent-Paper-List: nlp, survey, agent; Also covers AI Agents, Inference & Serving; You need an overview of the latest advancements in LLM-based agents.
- When should I avoid LLMSurvey?
- If your focus is on practical, hands-on application rather than theoretical research or academic study. When looking for immediate, executable LLM frameworks instead of a curated collection of papers and resources. For projects requiring real-time data integration with specific programming tasks not covered by paper references.
- When should I avoid LLM-Agent-Paper-List?
- For general-purpose development tools or libraries for building AI applications, focus instead on broader, more comprehensive repositories or frameworks. If you need hands-on code solutions without context, LLM-Agent-Paper-List might not be the immediate go-to source as it emphasizes research-driven content over practical coding examples or full-blown,
- Is LLMSurvey or LLM-Agent-Paper-List more popular on GitHub?
- LLMSurvey has more GitHub stars (12,184 vs 8,158). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMSurvey and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LLMSurvey or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at /tools/rucaibox-llmsurvey/alternatives and /tools/woooodyy-llm-agent-paper-list/alternatives (/tools/rucaibox-llmsurvey/alternatives.md, /tools/woooodyy-llm-agent-paper-list/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/rucaibox-llmsurvey-vs-woooodyy-llm-agent-paper-list.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, LLMSurvey or LLM-Agent-Paper-List?
- LLMSurvey: Dormant. LLM-Agent-Paper-List: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for LLMSurvey and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMSurvey: /tools/rucaibox-llmsurvey/trust; LLM-Agent-Paper-List: /tools/woooodyy-llm-agent-paper-list/trust.