Home/Compare/agent-opt vs LLM-Agent-Paper-List

Comparison

agent-opt vs LLM-Agent-Paper-List

Verdict

Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; 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 · agent-opt alternatives · LLM-Agent-Paper-List alternatives

GraphCanon updated Oct 3, 2026

20views this month

agent-opt logo

agent-opt

future-agi/agent-opt

★ 75pushed Jun 30, 2026
vs
LLM-Agent-Paper-List logo

LLM-Agent-Paper-List

WooooDyy/LLM-Agent-Paper-List

★ 8.2kpushed Sep 12, 2025

Trust & integrity

Signalagent-optLLM-Agent-Paper-List
Maintenance
Archived (95d since push)
As of Oct 3, 2026 · github_public_v1
Dormant (371d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 3, 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

agent-opt
Open Source Library for Automated Optimization of AI Agent Workflows
LLM-Agent-Paper-List
Must-read papers for LLM-based agents.

Stars

agent-opt
75
LLM-Agent-Paper-List
8.2k

Forks

agent-opt
9
LLM-Agent-Paper-List
499

Open issues

agent-opt
0
LLM-Agent-Paper-List
32

Language

agent-opt
Python
LLM-Agent-Paper-List
-

Adopt for

agent-opt
Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
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

agent-opt
-
LLM-Agent-Paper-List
-

Runtime

agent-opt
-
LLM-Agent-Paper-List
-

License

agent-opt
Apache-2.0
LLM-Agent-Paper-List
-

Last pushed

agent-opt
Jun 30, 2026
LLM-Agent-Paper-List
Sep 12, 2025

Categories

agent-opt
AI Agents, Evaluation & Observability
LLM-Agent-Paper-List
AI Agents, Evaluation & Observability, Model Training

Trust and health

Maintenance

agent-opt
Archived (8%)
LLM-Agent-Paper-List
Dormant (18%)

Days since push

agent-opt
95d
LLM-Agent-Paper-List
371d

Archived on GitHub

agent-opt
Yes
LLM-Agent-Paper-List
No

Open issues (now)

agent-opt
0
LLM-Agent-Paper-List
32

Stars delta

agent-opt
+4 (30d)
LLM-Agent-Paper-List
+50 (30d)

Open issues delta

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

Owner type

agent-opt
Organization
LLM-Agent-Paper-List
User

Full report

agent-opt
Trust report
LLM-Agent-Paper-List
Trust report

Choose agent-opt if…

  • Tags unique to agent-opt: ai-agents, aioptimization, automation, cicd.
  • - When your project needs seamless CI/CD integration alongside automated optimization
  • More recently updated (last pushed Jun 30, 2026).

When NOT to use agent-opt

  • - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
  • - In scenarios where CI/CD integration is not a priority for your AI workflow optimization

Choose LLM-Agent-Paper-List if…

  • Tags unique to LLM-Agent-Paper-List: large-language-models, llm, nlp, reinforcement learning.
  • 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 on cards: agent-opt 75 · LLM-Agent-Paper-List 8.2k (synced Oct 3, 2026).

Common questions

What is the difference between agent-opt and LLM-Agent-Paper-List?
agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. 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 agent-opt over LLM-Agent-Paper-List?
Choose agent-opt over LLM-Agent-Paper-List when Tags unique to agent-opt: ai-agents, aioptimization, automation, cicd; - When your project needs seamless CI/CD integration alongside automated optimization; More recently updated (last pushed Jun 30, 2026).
When should I choose LLM-Agent-Paper-List over agent-opt?
Choose LLM-Agent-Paper-List over agent-opt when Tags unique to LLM-Agent-Paper-List: large-language-models, llm, nlp, reinforcement learning; 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 agent-opt?
- If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
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 agent-opt or LLM-Agent-Paper-List more popular on GitHub?
LLM-Agent-Paper-List has more GitHub stars (8,222 vs 75). Stars measure visibility, not whether either tool fits your constraints.
Are agent-opt and LLM-Agent-Paper-List open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to agent-opt or LLM-Agent-Paper-List?
GraphCanon lists graph-backed alternatives at agent-opt alternatives and LLM-Agent-Paper-List alternatives (agent-opt 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, agent-opt or LLM-Agent-Paper-List?
agent-opt: Archived. 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 agent-opt and LLM-Agent-Paper-List?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; LLM-Agent-Paper-List trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.