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 lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training.
Markdown twin · agent-opt alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | agent-opt | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Steady (35d since push) As of 2w · github_public_v1 | Slowing (339d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 71
- LLM-Agent-Paper-List
- 8.2k
Forks
- agent-opt
- 7
- LLM-Agent-Paper-List
- 495
Open issues
- agent-opt
- 0
- LLM-Agent-Paper-List
- 31
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
- Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training.
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
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- LLM-Agent-Paper-List
- Slowing (36%)
Days since push
- agent-opt
- 35d
- LLM-Agent-Paper-List
- 339d
Open issues (now)
- agent-opt
- 0
- LLM-Agent-Paper-List
- 31
Stars delta
- agent-opt
- Unknown
- LLM-Agent-Paper-List
- +4 (30d)
Open issues delta
- agent-opt
- Unknown
- LLM-Agent-Paper-List
- +2 (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, rl.
- Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors.
- More GitHub stars (8.2k vs 71) - visibility, not fit.
When NOT to use LLM-Agent-Paper-List
- Seeking real-time interactive debugging tools; focuses more on paper reviews and general frameworks than coding sandbox features.
- Require support documentation in languages other than English or project-specific code details, as licensing and detailed documentation are currently unverified.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/agent-opt) · observed Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WooooDyy/LLM-Agent-Paper-List) · observed Aug 17, 2026
- GitHub forks (WooooDyy/LLM-Agent-Paper-List) · observed Aug 17, 2026
- Last push (WooooDyy/LLM-Agent-Paper-List) · observed Sep 12, 2025
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · LLM-Agent-Paper-List 8.2k (synced Aug 4, 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, rl; Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors; More GitHub stars (8.2k vs 71) - visibility, not fit.
- 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?
- Seeking real-time interactive debugging tools; focuses more on paper reviews and general frameworks than coding sandbox features. Require support documentation in languages other than English or project-specific code details, as licensing and detailed documentation are currently unverified.
- Is agent-opt or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,172 vs 71). 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: Steady. LLM-Agent-Paper-List: Slowing. 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.