--- title: "agent-framework vs LLM-Agent-Paper-List" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-woooodyy-llm-agent-paper-list" tools: ["microsoft-agent-framework", "woooodyy-llm-agent-paper-list"] --- # agent-framework vs LLM-Agent-Paper-List *GraphCanon updated Aug 17, 2026* ## Verdict Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; pick LLM-Agent-Paper-List if lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 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-framework's repository](https://github.com/microsoft/agent-framework) and [LLM-Agent-Paper-List's repository](https://github.com/WooooDyy/LLM-Agent-Paper-List). | | [agent-framework](/tools/microsoft-agent-framework.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | Must-read papers for LLM-based agents. | | Stars | 12,718 | 8,172 | | Forks | 2,143 | 495 | | Open issues | 685 | 31 | | Language | Python | - | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Developer Tools | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 339d | | Open issues (now) | 685 | 31 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/woooodyy-llm-agent-paper-list/trust.md) | ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## 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-framework if… - Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.. - Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent. - Also covers Developer Tools. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose LLM-Agent-Paper-List if… - Tags unique to LLM-Agent-Paper-List: agent, large language models, llm, nlp. - Also covers Evaluation & Observability. - Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors. ## When NOT to use agent-framework - Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. - Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ## 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-framework and LLM-Agent-Paper-List? agent-framework: Framework for building and deploying AI agents and multi-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-framework over LLM-Agent-Paper-List? Choose agent-framework over LLM-Agent-Paper-List when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose LLM-Agent-Paper-List over agent-framework? Choose LLM-Agent-Paper-List over agent-framework when Tags unique to LLM-Agent-Paper-List: agent, large language models, llm, nlp; Also covers Evaluation & Observability; Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors. ### When should I avoid agent-framework? Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ### 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-framework or LLM-Agent-Paper-List more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 8,172). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and LLM-Agent-Paper-List open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agent-framework or LLM-Agent-Paper-List? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [LLM-Agent-Paper-List alternatives](/tools/woooodyy-llm-agent-paper-list/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/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/microsoft-agent-framework-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-framework or LLM-Agent-Paper-List? agent-framework: Very active. 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-framework and LLM-Agent-Paper-List? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [LLM-Agent-Paper-List trust report](/tools/woooodyy-llm-agent-paper-list/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-agent-framework`](/api/graphcanon/graph?tool=microsoft-agent-framework) - 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/_