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

# eko vs agentflow

*GraphCanon updated Aug 24, 2026*

## Verdict

Pick eko if eko excels at natural-language commands for creating agentic AI workflows; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

[eko](https://fellou.ai/eko) reports 5.0k GitHub stars, 442 forks, and 11 open issues, last pushed Mar 3, 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 [eko's repository](https://github.com/FellouAI/eko) and [agentflow's repository](https://github.com/simonmesmith/agentflow).

| | [eko](/tools/fellouai-eko.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Tagline | Build Production-ready Agentic Workflow with Natural Language | Complex LLM Workflows from Simple JSON |
| Stars | 4,950 | 320 |
| Forks | 442 | 27 |
| Open issues | 11 | 13 |
| Language | TypeScript | Python |
| Adopt for | Eko excels at natural-language commands for creating agentic AI workflows. | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Inference & Serving | AI Agents, LLM Frameworks |

## Trust and health

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

| | [eko](/tools/fellouai-eko.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 174d | 1100d |
| Open issues (now) | 11 | 13 |
| Stars delta | +11 (30d) | -1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/fellouai-eko/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) |

## Decision facts: eko

- **Adopt for:** Eko excels at natural-language commands for creating agentic AI workflows.

## Decision facts: agentflow

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

## Choose when

### Choose eko if…

- eko is primarily TypeScript; agentflow is Python.
- Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework.
- Also covers Inference & Serving.
- For TypeScript projects needing agentic work via natural language

### Choose agentflow if…

- agentflow is primarily Python; eko is TypeScript.
- Tags unique to agentflow: json, large language models, python, workflow-management.
- Also covers LLM Frameworks.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs

## When NOT to use eko

- If your team lacks proficiency in working with TypeScript and its ecosystem
- In scenarios demanding real-time low-latency execution without the overhead of language processing

## 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 eko and agentflow?

eko: Build Production-ready Agentic Workflow with Natural Language. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.

### When should I choose eko over agentflow?

Choose eko over agentflow when eko is primarily TypeScript; agentflow is Python; Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework; Also covers Inference & Serving; For TypeScript projects needing agentic work via natural language.

### When should I choose agentflow over eko?

Choose agentflow over eko when agentflow is primarily Python; eko is TypeScript; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.

### When should I avoid eko?

If your team lacks proficiency in working with TypeScript and its ecosystem In scenarios demanding real-time low-latency execution without the overhead of language processing

### 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 eko or agentflow more popular on GitHub?

eko has more GitHub stars (4,950 vs 320). Stars measure visibility, not whether either tool fits your constraints.

### Are eko and agentflow open source?

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

### Where can I find alternatives to eko or agentflow?

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

### Which is better maintained, eko or agentflow?

eko: Slowing. 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 eko and agentflow?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=fellouai-eko`](/api/graphcanon/graph?tool=fellouai-eko)
- 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/_
