Home/Compare/LLM-Agent-Paper-List vs ReAct

Comparison

LLM-Agent-Paper-List vs ReAct

Verdict

Pick LLM-Agent-Paper-List if lLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning; pick ReAct if reAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3.

Markdown twin · LLM-Agent-Paper-List alternatives · ReAct alternatives

GraphCanon updated Sep 20, 2026

11views this month

LLM-Agent-Paper-List logo

LLM-Agent-Paper-List

WooooDyy/LLM-Agent-Paper-List

★ 8.2kpushed Sep 12, 2025
vs
ReAct logo

ReAct

ysymyth/ReAct

★ 4.1kpushed Feb 6, 2024

Trust & integrity

SignalLLM-Agent-Paper-ListReAct
Maintenance
Dormant (371d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (923d since push)
As of Aug 17, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Aug 17, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

LLM-Agent-Paper-List
Must-read papers for LLM-based agents.
ReAct
ReAct Prompting for decision-making with language models

Stars

LLM-Agent-Paper-List
8.2k
ReAct
4.1k

Forks

LLM-Agent-Paper-List
499
ReAct
396

Open issues

LLM-Agent-Paper-List
32
ReAct
5

Language

LLM-Agent-Paper-List
-
ReAct
Jupyter Notebook

Adopt for

LLM-Agent-Paper-List
LLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning.
ReAct
ReAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3.

Persona

LLM-Agent-Paper-List
-
ReAct
-

Runtime

LLM-Agent-Paper-List
-
ReAct
-

License

LLM-Agent-Paper-List
-
ReAct
MIT

Last pushed

LLM-Agent-Paper-List
Sep 12, 2025
ReAct
Feb 6, 2024

Categories

LLM-Agent-Paper-List
AI Agents, Evaluation & Observability, Model Training
ReAct
AI Agents, LLM Frameworks

Trust and health

Days since push

LLM-Agent-Paper-List
371d
ReAct
923d

Open issues (now)

LLM-Agent-Paper-List
32
ReAct
5

Open issues delta

LLM-Agent-Paper-List
+1 (30d)
ReAct
0 (30d)

Full report

LLM-Agent-Paper-List
Trust report

Choose LLM-Agent-Paper-List if…

  • Tags unique to LLM-Agent-Paper-List: agent, evaluation, nlp, reinforcement learning.
  • Also covers Evaluation & Observability, Model Training.
  • When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning

When NOT to use LLM-Agent-Paper-List

  • If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents
  • When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications
  • If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper

Choose ReAct if…

  • Tags unique to ReAct: decision-making, prompting, reasoning.
  • Also covers LLM Frameworks.
  • When aiming for better decision-making in HotpotQA, alfworld environments, or WebShop scenarios with GPT-3

When NOT to use ReAct

  • If requiring extensive custom task integration beyond provided notebooks, LangChain's zero-shot ReAct agent may be more preferable
  • When PaLM outperforms GPT-3 on specific tasks or if an alternative model is preferred

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LLM-Agent-Paper-List 8.2k · ReAct 4.1k (synced Sep 20, 2026).

Common questions

What is the difference between LLM-Agent-Paper-List and ReAct?
LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. ReAct: ReAct Prompting for decision-making with language models. See the comparison table for live GitHub stats and shared categories.
When should I choose LLM-Agent-Paper-List over ReAct?
Choose LLM-Agent-Paper-List over ReAct when Tags unique to LLM-Agent-Paper-List: agent, evaluation, nlp, reinforcement learning; Also covers Evaluation & Observability, Model Training; When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning.
When should I choose ReAct over LLM-Agent-Paper-List?
Choose ReAct over LLM-Agent-Paper-List when Tags unique to ReAct: decision-making, prompting, reasoning; Also covers LLM Frameworks; When aiming for better decision-making in HotpotQA, alfworld environments, or WebShop scenarios with GPT-3.
When should I avoid LLM-Agent-Paper-List?
If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper
When should I avoid ReAct?
If requiring extensive custom task integration beyond provided notebooks, LangChain's zero-shot ReAct agent may be more preferable When PaLM outperforms GPT-3 on specific tasks or if an alternative model is preferred
Is LLM-Agent-Paper-List or ReAct more popular on GitHub?
LLM-Agent-Paper-List has more GitHub stars (8,222 vs 4,109). Stars measure visibility, not whether either tool fits your constraints.
Are LLM-Agent-Paper-List and ReAct open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to LLM-Agent-Paper-List or ReAct?
GraphCanon lists graph-backed alternatives at LLM-Agent-Paper-List alternatives and ReAct alternatives (LLM-Agent-Paper-List markdown twin, ReAct markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, LLM-Agent-Paper-List or ReAct?
LLM-Agent-Paper-List: Dormant. ReAct: Dormant. 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 LLM-Agent-Paper-List and ReAct?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-Agent-Paper-List trust report; ReAct trust report.

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