--- title: "agent-opt vs LLM-Agent-Paper-List" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-opt-vs-woooodyy-llm-agent-paper-list" tools: ["future-agi-agent-opt", "woooodyy-llm-agent-paper-list"] --- # agent-opt vs LLM-Agent-Paper-List *GraphCanon updated Aug 17, 2026* ## 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. [agent-opt](https://app.futureagi.com) reports 71 GitHub stars, 7 forks, and 0 open issues, last pushed Jun 30, 2026. [LLM-Agent-Paper-List](https://arxiv.org/abs/2309.07864) has 8.2k stars, 495 forks, and 31 open issues, last pushed Sep 12, 2025. Figures are from public GitHub metadata via [agent-opt's repository](https://github.com/future-agi/agent-opt) and [LLM-Agent-Paper-List's repository](https://github.com/WooooDyy/LLM-Agent-Paper-List). | | [agent-opt](/tools/future-agi-agent-opt.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Tagline | Open Source Library for Automated Optimization of AI Agent Workflows | Must-read papers for LLM-based agents. | | Stars | 71 | 8,172 | | Forks | 7 | 495 | | Open issues | 0 | 31 | | Language | Python | - | | Adopt for | 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. | Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-opt](/tools/future-agi-agent-opt.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 35d | 339d | | Open issues (now) | 0 | 31 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-agent-opt/trust.md) | [trust report](/tools/woooodyy-llm-agent-paper-list/trust.md) | ## Decision facts: agent-opt - **Adopt for:** 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. ## Decision facts: LLM-Agent-Paper-List - **Adopt for:** Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training. ## Choose when ### 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). ### 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 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 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. ## 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](/tools/future-agi-agent-opt/alternatives) and [LLM-Agent-Paper-List alternatives](/tools/woooodyy-llm-agent-paper-list/alternatives) ([agent-opt markdown twin](/tools/future-agi-agent-opt/alternatives.md), [LLM-Agent-Paper-List markdown twin](/tools/woooodyy-llm-agent-paper-list/alternatives.md)), 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](/compare/future-agi-agent-opt-vs-woooodyy-llm-agent-paper-list.md) 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](/tools/future-agi-agent-opt/trust); [LLM-Agent-Paper-List trust report](/tools/woooodyy-llm-agent-paper-list/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-opt`](/api/graphcanon/graph?tool=future-agi-agent-opt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_