Comparison
OpenRLHF vs LLM-Agent-Paper-List
Verdict
Pick OpenRLHF if openRLHF is a scalable and high-performance reinforcement learning framework from human feedback, built on Ray for distributed scheduling and vLLM for efficient inference, supporting models up to 70B+ parameters; 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.
Markdown twin · OpenRLHF alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | OpenRLHF | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 18, 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 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 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
- OpenRLHF
- Scalable and High-performance Agentic RL Framework based on Ray
- LLM-Agent-Paper-List
- Must-read papers for LLM-based agents.
Stars
- OpenRLHF
- 10k
- LLM-Agent-Paper-List
- 8.2k
Forks
- OpenRLHF
- 1.0k
- LLM-Agent-Paper-List
- 499
Open issues
- OpenRLHF
- 380
- LLM-Agent-Paper-List
- 32
Language
- OpenRLHF
- Python
- LLM-Agent-Paper-List
- -
Adopt for
- OpenRLHF
- OpenRLHF is a scalable and high-performance reinforcement learning framework from human feedback, built on Ray for distributed scheduling and vLLM for efficient inference, supporting models up to 70B+ parameters.
- 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
- OpenRLHF
- -
- LLM-Agent-Paper-List
- -
Runtime
- OpenRLHF
- -
- LLM-Agent-Paper-List
- -
License
- OpenRLHF
- Apache-2.0
- LLM-Agent-Paper-List
- -
Last pushed
- OpenRLHF
- Sep 17, 2026
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- OpenRLHF
- Inference & Serving, Model Training
- LLM-Agent-Paper-List
- AI Agents, Evaluation & Observability, Model Training
Trust and health
Maintenance
- OpenRLHF
- Very active (96%)
- LLM-Agent-Paper-List
- Dormant (18%)
Days since push
- OpenRLHF
- 1d
- LLM-Agent-Paper-List
- 371d
Open issues (now)
- OpenRLHF
- 380
- LLM-Agent-Paper-List
- 32
Stars delta
- OpenRLHF
- +123 (30d)
- LLM-Agent-Paper-List
- +50 (30d)
Open issues delta
- OpenRLHF
- +13 (30d)
- LLM-Agent-Paper-List
- +1 (30d)
Owner type
- OpenRLHF
- Organization
- LLM-Agent-Paper-List
- User
OSV dependency advisories
- OpenRLHF
- Published findings
- LLM-Agent-Paper-List
- No lockfile (source not queried)
Full report
- OpenRLHF
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose OpenRLHF if…
- Tags unique to OpenRLHF: proximal-policy-optimization, raylib, reinforcement-learning-from-human-feedba, transformers.
- Also covers Inference & Serving.
- When you need to train large models up to 70B+ parameters with efficient distributed scheduling and high-performance inference.
When NOT to use OpenRLHF
- If your project does not require support for large models or distributed training, as OpenRLHF's complexity and resource requirements may be unnecessary.
- When you prefer a framework that does not rely on Ray for distributed scheduling, as OpenRLHF's architecture is tightly coupled with Ray for its distributed capabilities.
Choose LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: agent, evaluation, llm, nlp.
- Also covers AI Agents, Evaluation & Observability.
- 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 (OpenRLHF/OpenRLHF) · observed Sep 20, 2026
- GitHub forks (OpenRLHF/OpenRLHF) · observed Sep 20, 2026
- Last push (OpenRLHF/OpenRLHF) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 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: OpenRLHF 10k · LLM-Agent-Paper-List 8.2k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenRLHF and LLM-Agent-Paper-List?
- OpenRLHF: Scalable and High-performance Agentic RL Framework based on Ray. 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 OpenRLHF over LLM-Agent-Paper-List?
- Choose OpenRLHF over LLM-Agent-Paper-List when Tags unique to OpenRLHF: proximal-policy-optimization, raylib, reinforcement-learning-from-human-feedba, transformers; Also covers Inference & Serving; When you need to train large models up to 70B+ parameters with efficient distributed scheduling and high-performance inference.
- When should I choose LLM-Agent-Paper-List over OpenRLHF?
- Choose LLM-Agent-Paper-List over OpenRLHF when Tags unique to LLM-Agent-Paper-List: agent, evaluation, llm, nlp; Also covers AI Agents, Evaluation & Observability; 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 OpenRLHF?
- If your project does not require support for large models or distributed training, as OpenRLHF's complexity and resource requirements may be unnecessary. When you prefer a framework that does not rely on Ray for distributed scheduling, as OpenRLHF's architecture is tightly coupled with Ray for its distributed capabilities.
- 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 OpenRLHF or LLM-Agent-Paper-List more popular on GitHub?
- OpenRLHF has more GitHub stars (10,014 vs 8,222). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenRLHF and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to OpenRLHF or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at OpenRLHF alternatives and LLM-Agent-Paper-List alternatives (OpenRLHF 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, OpenRLHF or LLM-Agent-Paper-List?
- OpenRLHF: 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 OpenRLHF and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenRLHF trust report; LLM-Agent-Paper-List trust report.