---
title: "llm-workflow-engine vs agentflow"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/llm-workflow-engine-llm-workflow-engine-vs-simonmesmith-agentflow"
tools: ["llm-workflow-engine-llm-workflow-engine", "simonmesmith-agentflow"]
---

# llm-workflow-engine vs agentflow

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick llm-workflow-engine if critical Decision Factors for 'llm-workflow-engine'; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

[llm-workflow-engine](https://github.com/llm-workflow-engine/llm-workflow-engine) reports 3.7k GitHub stars, 468 forks, and 3 open issues, last pushed Jul 15, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [llm-workflow-engine's repository](https://github.com/llm-workflow-engine/llm-workflow-engine) and [agentflow's repository](https://github.com/simonmesmith/agentflow).

| | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Tagline | Power CLI and Workflow manager for LLMs (core package) | Complex LLM Workflows from Simple JSON |
| Stars | 3,720 | 320 |
| Forks | 468 | 27 |
| Open issues | 3 | 13 |
| Language | Python | Python |
| Adopt for | Critical Decision Factors for 'llm-workflow-engine' | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT-licensed, offering flexibility under non-restrictive open-source terms. | MIT |
| Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks |

## Trust and health

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

| | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 23d | 1100d |
| Open issues (now) | 3 | 13 |
| Stars delta | Unknown | -1 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) |

## Decision facts: llm-workflow-engine

- **Requirements:** Built for a Python environment which may not fully cater to workflows outside of this language.
- **Adopt for:** Critical Decision Factors for 'llm-workflow-engine'
- **License detail:** MIT-licensed, offering flexibility under non-restrictive open-source terms.

## Decision facts: agentflow

- **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

## Choose when

### Choose llm-workflow-engine if…

- Requirements: Built for a Python environment which may not fully cater to workflows outside of this language..
- Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3.
- Also covers Developer Tools.
- llm-workflow-engine ships Docker support for self-hosted deployment.
- When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI.

### Choose agentflow if…

- Tags unique to agentflow: json, large language models, workflow-management.
- Also covers AI Agents.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs

## When NOT to use llm-workflow-engine

- Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions.
- Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support.

## When NOT to use agentflow

- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution

## Common questions

### What is the difference between llm-workflow-engine and agentflow?

llm-workflow-engine: Power CLI and Workflow manager for LLMs (core package). agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm-workflow-engine over agentflow?

Choose llm-workflow-engine over agentflow when Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.; Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3; Also covers Developer Tools; llm-workflow-engine ships Docker support for self-hosted deployment; When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI.

### When should I choose agentflow over llm-workflow-engine?

Choose agentflow over llm-workflow-engine when Tags unique to agentflow: json, large language models, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.

### When should I avoid llm-workflow-engine?

Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support.

### When should I avoid agentflow?

Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution

### Is llm-workflow-engine or agentflow more popular on GitHub?

llm-workflow-engine has more GitHub stars (3,720 vs 320). Stars measure visibility, not whether either tool fits your constraints.

### Are llm-workflow-engine and agentflow open source?

Yes - both are open-source projects on GitHub (llm-workflow-engine: MIT, agentflow: MIT).

### Where can I find alternatives to llm-workflow-engine or agentflow?

GraphCanon lists graph-backed alternatives at [llm-workflow-engine alternatives](/tools/llm-workflow-engine-llm-workflow-engine/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([llm-workflow-engine markdown twin](/tools/llm-workflow-engine-llm-workflow-engine/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/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/llm-workflow-engine-llm-workflow-engine-vs-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm-workflow-engine or agentflow?

llm-workflow-engine: Active. agentflow: 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 llm-workflow-engine and agentflow?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-workflow-engine trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust); [agentflow trust report](/tools/simonmesmith-agentflow/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=llm-workflow-engine-llm-workflow-engine`](/api/graphcanon/graph?tool=llm-workflow-engine-llm-workflow-engine)
- 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/_
