Comparison
AutoRAG vs LLM-Agent-Paper-List
Verdict
Pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques; 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.
Markdown twin · AutoRAG alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | AutoRAG | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 7, 2026 · github_public_v1 | Dormant (371d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- AutoRAG
- Open-source framework for RAG evaluation and optimization via AutoML
- LLM-Agent-Paper-List
- Must-read papers for LLM-based agents.
Stars
- AutoRAG
- 5.1k
- LLM-Agent-Paper-List
- 8.2k
Forks
- AutoRAG
- 434
- LLM-Agent-Paper-List
- 499
Open issues
- AutoRAG
- 125
- LLM-Agent-Paper-List
- 32
Language
- AutoRAG
- TypeScript
- LLM-Agent-Paper-List
- -
Adopt for
- AutoRAG
- AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
- 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.
Persona
- AutoRAG
- -
- LLM-Agent-Paper-List
- -
Runtime
- AutoRAG
- -
- LLM-Agent-Paper-List
- -
License
- AutoRAG
- Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices.
- LLM-Agent-Paper-List
- -
Last pushed
- AutoRAG
- Sep 7, 2026
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- AutoRAG
- Evaluation & Observability, Model Training
- LLM-Agent-Paper-List
- AI Agents, Evaluation & Observability, Model Training
Trust and health
Maintenance
- AutoRAG
- Very active (96%)
- LLM-Agent-Paper-List
- Dormant (18%)
Days since push
- AutoRAG
- 0d
- LLM-Agent-Paper-List
- 371d
Open issues (now)
- AutoRAG
- 125
- LLM-Agent-Paper-List
- 32
Stars delta
- AutoRAG
- +92 (30d)
- LLM-Agent-Paper-List
- +50 (30d)
Open issues delta
- AutoRAG
- +2 (30d)
- LLM-Agent-Paper-List
- +1 (30d)
Owner type
- AutoRAG
- Organization
- LLM-Agent-Paper-List
- User
Full report
- AutoRAG
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose AutoRAG if…
- Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser.
- Automated benchmarking is needed for retrieval-augmented generation tasks
- More recently updated (last pushed Sep 7, 2026).
When NOT to use AutoRAG
- Requirements exceed capabilities of open-source tools
- No need for RAG-specific optimization and evaluation features
Choose LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: agent, large-language-models, llm, nlp.
- 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Marker-Inc-Korea/AutoRAG) · observed Sep 20, 2026
- GitHub forks (Marker-Inc-Korea/AutoRAG) · observed Sep 20, 2026
- Last push (Marker-Inc-Korea/AutoRAG) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WooooDyy/LLM-Agent-Paper-List) · observed Sep 20, 2026
- GitHub forks (WooooDyy/LLM-Agent-Paper-List) · observed Sep 20, 2026
- Last push (WooooDyy/LLM-Agent-Paper-List) · observed Sep 12, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: AutoRAG 5.1k · LLM-Agent-Paper-List 8.2k (synced Sep 20, 2026).
Common questions
- What is the difference between AutoRAG and LLM-Agent-Paper-List?
- AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. 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 AutoRAG over LLM-Agent-Paper-List?
- Choose AutoRAG over LLM-Agent-Paper-List when Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Automated benchmarking is needed for retrieval-augmented generation tasks; More recently updated (last pushed Sep 7, 2026).
- When should I choose LLM-Agent-Paper-List over AutoRAG?
- Choose LLM-Agent-Paper-List over AutoRAG when Tags unique to LLM-Agent-Paper-List: agent, large-language-models, llm, nlp; 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 AutoRAG?
- Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features
- 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 AutoRAG or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,222 vs 5,060). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoRAG and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to AutoRAG or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at AutoRAG alternatives and LLM-Agent-Paper-List alternatives (AutoRAG markdown twin, LLM-Agent-Paper-List 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, AutoRAG or LLM-Agent-Paper-List?
- AutoRAG: Very active. 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 AutoRAG and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoRAG trust report; LLM-Agent-Paper-List trust report.