---
title: "MM-REACT vs LLM-Agent-Paper-List"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-mm-react-vs-woooodyy-llm-agent-paper-list"
tools: ["microsoft-mm-react", "woooodyy-llm-agent-paper-list"]
---

# MM-REACT vs LLM-Agent-Paper-List

*GraphCanon updated Aug 17, 2026*

## Verdict

Pick MM-REACT if mM-REACT is an AI agent framework built upon LangChain; pick LLM-Agent-Paper-List if lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training.

[MM-REACT](https://multimodal-react.github.io/) reports 967 GitHub stars, 66 forks, and 20 open issues, last pushed Jan 31, 2024. [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 [MM-REACT's repository](https://github.com/microsoft/MM-REACT) and [LLM-Agent-Paper-List's repository](https://github.com/WooooDyy/LLM-Agent-Paper-List).

| | [MM-REACT](/tools/microsoft-mm-react.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) |
| --- | --- | --- |
| Tagline | MM-REACT is an AI agent framework built upon langchain. | Must-read papers for LLM-based agents. |
| Stars | 967 | 8,172 |
| Forks | 66 | 495 |
| Open issues | 20 | 31 |
| Language | Python | - |
| Adopt for | MM-REACT is an AI agent framework built upon LangChain. | Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | - |
| Categories | AI Agents | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [MM-REACT](/tools/microsoft-mm-react.md) | [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 926d | 339d |
| Open issues (now) | 20 | 31 |
| Stars delta | 0 (30d) | +4 (30d) |
| Open issues delta | 0 (30d) | +2 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/microsoft-mm-react/trust.md) | [trust report](/tools/woooodyy-llm-agent-paper-list/trust.md) |

## Decision facts: MM-REACT

- **Adopt for:** MM-REACT is an AI agent framework built upon LangChain.

## 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 MM-REACT if…

- Tags unique to MM-REACT: ai workflow frameworks, langchain, microsoft, python.
- If you are working on complex AI workflows and have prior experience with LangChain projects.
- Leaner open-issue backlog (20).

### 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 MM-REACT

- Avoid if the dependency on LangChain introduces limitations or complexities that impede project goals.
- Not suitable if a more lightweight, alternative AI agent framework is preferred for your specific needs.

## 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 MM-REACT and LLM-Agent-Paper-List?

MM-REACT: MM-REACT is an AI agent framework built upon langchain.. 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 MM-REACT over LLM-Agent-Paper-List?

Choose MM-REACT over LLM-Agent-Paper-List when Tags unique to MM-REACT: ai workflow frameworks, langchain, microsoft, python; If you are working on complex AI workflows and have prior experience with LangChain projects; Leaner open-issue backlog (20).

### When should I choose LLM-Agent-Paper-List over MM-REACT?

Choose LLM-Agent-Paper-List over MM-REACT 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 MM-REACT?

Avoid if the dependency on LangChain introduces limitations or complexities that impede project goals. Not suitable if a more lightweight, alternative AI agent framework is preferred for your specific needs.

### 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 MM-REACT or LLM-Agent-Paper-List more popular on GitHub?

LLM-Agent-Paper-List has more GitHub stars (8,172 vs 967). Stars measure visibility, not whether either tool fits your constraints.

### Are MM-REACT and LLM-Agent-Paper-List open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to MM-REACT or LLM-Agent-Paper-List?

GraphCanon lists graph-backed alternatives at [MM-REACT alternatives](/tools/microsoft-mm-react/alternatives) and [LLM-Agent-Paper-List alternatives](/tools/woooodyy-llm-agent-paper-list/alternatives) ([MM-REACT markdown twin](/tools/microsoft-mm-react/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-mm-react-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, MM-REACT or LLM-Agent-Paper-List?

MM-REACT: Dormant. 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 MM-REACT and LLM-Agent-Paper-List?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MM-REACT trust report](/tools/microsoft-mm-react/trust); [LLM-Agent-Paper-List trust report](/tools/woooodyy-llm-agent-paper-list/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-mm-react`](/api/graphcanon/graph?tool=microsoft-mm-react)
- 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/_
