Comparison
agentops vs LLM-Agent-Paper-List
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; 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 · agentops alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | agentops | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 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 20, 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 15, 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- LLM-Agent-Paper-List
- Must-read papers for LLM-based agents.
Stars
- agentops
- 5.8k
- LLM-Agent-Paper-List
- 8.2k
Forks
- agentops
- 625
- LLM-Agent-Paper-List
- 499
Open issues
- agentops
- 184
- LLM-Agent-Paper-List
- 32
Language
- agentops
- Python
- LLM-Agent-Paper-List
- -
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- 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
- agentops
- -
- LLM-Agent-Paper-List
- -
Runtime
- agentops
- -
- LLM-Agent-Paper-List
- -
License
- agentops
- MIT
- LLM-Agent-Paper-List
- -
Last pushed
- agentops
- Jun 25, 2026
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- agentops
- AI Agents, Evaluation & Observability
- LLM-Agent-Paper-List
- AI Agents, Evaluation & Observability, Model Training
Trust and health
Maintenance
- agentops
- Steady (60%)
- LLM-Agent-Paper-List
- Dormant (18%)
Days since push
- agentops
- 86d
- LLM-Agent-Paper-List
- 371d
Open issues (now)
- agentops
- 184
- LLM-Agent-Paper-List
- 32
Stars delta
- agentops
- +59 (30d)
- LLM-Agent-Paper-List
- +50 (30d)
Open issues delta
- agentops
- +8 (30d)
- LLM-Agent-Paper-List
- +1 (30d)
Owner type
- agentops
- Organization
- LLM-Agent-Paper-List
- User
Full report
- agentops
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose agentops if…
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
- More recently updated (last pushed Jun 25, 2026).
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm.
- Also covers 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: agentops 5.8k · LLM-Agent-Paper-List 8.2k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and LLM-Agent-Paper-List?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. 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 agentops over LLM-Agent-Paper-List?
- Choose agentops over LLM-Agent-Paper-List when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK; More recently updated (last pushed Jun 25, 2026).
- When should I choose LLM-Agent-Paper-List over agentops?
- Choose LLM-Agent-Paper-List over agentops when Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm; Also covers 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 avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- 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 agentops or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,222 vs 5,830). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentops or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at agentops alternatives and LLM-Agent-Paper-List alternatives (agentops 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, agentops or LLM-Agent-Paper-List?
- agentops: Steady. 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 agentops and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; LLM-Agent-Paper-List trust report.