--- title: "best_AI_papers_2022 vs LLM-Agent-Paper-List" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/louisfb01-best-ai-papers-2022-vs-woooodyy-llm-agent-paper-list" tools: ["louisfb01-best-ai-papers-2022", "woooodyy-llm-agent-paper-list"] --- # best_AI_papers_2022 vs LLM-Agent-Paper-List *GraphCanon updated Sep 21, 2026* ## Verdict Pick best_AI_papers_2022 if best AI Papers from 2022 offers video explanations and code links for selected research papers; 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. [best_AI_papers_2022](https://www.louisbouchard.ai) reports 3.2k GitHub stars, 195 forks, and 0 open issues, last pushed Oct 18, 2023. [LLM-Agent-Paper-List](https://arxiv.org/abs/2309.07864) has 8.2k stars, 499 forks, and 32 open issues, last pushed Sep 12, 2025. Figures are from public GitHub metadata via [best_AI_papers_2022's repository](https://github.com/louisfb01/best_AI_papers_2022) and [LLM-Agent-Paper-List's repository](https://github.com/WooooDyy/LLM-Agent-Paper-List). | | [best_AI_papers_2022](/tools/louisfb01-best-ai-papers-2022.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Tagline | A curated list of breakthrough AI papers from 2022 with video explanations and code links | Must-read papers for LLM-based agents. | | Stars | 3,182 | 8,222 | | Forks | 195 | 499 | | Open issues | 0 | 32 | | Language | - | - | | Adopt for | Best AI Papers from 2022 offers video explanations and code links for selected research papers. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Evaluation & Observability, Model Training | AI Agents, Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [best_AI_papers_2022](/tools/louisfb01-best-ai-papers-2022.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Days since push | 1068d | 371d | | Open issues (now) | 0 | 32 | | Stars delta | -5 (30d) | +50 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/louisfb01-best-ai-papers-2022/trust.md) | [trust report](/tools/woooodyy-llm-agent-paper-list/trust.md) | ## Decision facts: best_AI_papers_2022 - **Adopt for:** Best AI Papers from 2022 offers video explanations and code links for selected research papers. ## Decision facts: LLM-Agent-Paper-List - **Adopt for:** 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. ## Choose when ### Choose best_AI_papers_2022 if… - Tags unique to best_AI_papers_2022: ai, computer-vision, deep-learning, machine-learning. - Need to catch up on key innovations in AI from 2022 - Leaner open-issue backlog (0). ### Choose LLM-Agent-Paper-List if… - Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm. - Also covers AI Agents. - 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 best_AI_papers_2022 - Looking for real-time updates or post-2022 research findings - Require detailed technical analysis beyond paper abstracts ## 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 ## Common questions ### What is the difference between best_AI_papers_2022 and LLM-Agent-Paper-List? best_AI_papers_2022: A curated list of breakthrough AI papers from 2022 with video explanations and code links. 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 best_AI_papers_2022 over LLM-Agent-Paper-List? Choose best_AI_papers_2022 over LLM-Agent-Paper-List when Tags unique to best_AI_papers_2022: ai, computer-vision, deep-learning, machine-learning; Need to catch up on key innovations in AI from 2022; Leaner open-issue backlog (0). ### When should I choose LLM-Agent-Paper-List over best_AI_papers_2022? Choose LLM-Agent-Paper-List over best_AI_papers_2022 when Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm; Also covers AI Agents; 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 avoid best_AI_papers_2022? Looking for real-time updates or post-2022 research findings Require detailed technical analysis beyond paper abstracts ### 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 ### Is best_AI_papers_2022 or LLM-Agent-Paper-List more popular on GitHub? LLM-Agent-Paper-List has more GitHub stars (8,222 vs 3,182). Stars measure visibility, not whether either tool fits your constraints. ### Are best_AI_papers_2022 and LLM-Agent-Paper-List open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to best_AI_papers_2022 or LLM-Agent-Paper-List? GraphCanon lists graph-backed alternatives at [best_AI_papers_2022 alternatives](/tools/louisfb01-best-ai-papers-2022/alternatives) and [LLM-Agent-Paper-List alternatives](/tools/woooodyy-llm-agent-paper-list/alternatives) ([best_AI_papers_2022 markdown twin](/tools/louisfb01-best-ai-papers-2022/alternatives.md), [LLM-Agent-Paper-List markdown twin](/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 [this comparison](/compare/louisfb01-best-ai-papers-2022-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, best_AI_papers_2022 or LLM-Agent-Paper-List? best_AI_papers_2022: Dormant. LLM-Agent-Paper-List: 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 best_AI_papers_2022 and LLM-Agent-Paper-List? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [best_AI_papers_2022 trust report](/tools/louisfb01-best-ai-papers-2022/trust); [LLM-Agent-Paper-List trust report](/tools/woooodyy-llm-agent-paper-list/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=louisfb01-best-ai-papers-2022`](/api/graphcanon/graph?tool=louisfb01-best-ai-papers-2022) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_