---
title: "agentic-rag-for-dummies vs openagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/giovannipasq-agentic-rag-for-dummies-vs-haohao-end-openagent"
tools: ["giovannipasq-agentic-rag-for-dummies", "haohao-end-openagent"]
---

# agentic-rag-for-dummies vs openagent

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models; pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license.

[agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) reports 4.2k GitHub stars, 552 forks, and 0 open issues, last pushed Aug 30, 2026. [openagent](https://openllm.cloud) has 811 stars, 82 forks, and 49 open issues, last pushed Jul 17, 2026. Figures are from public GitHub metadata via [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies) and [openagent's repository](https://github.com/Haohao-end/openagent).

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [openagent](/tools/haohao-end-openagent.md) |
| --- | --- | --- |
| Tagline | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents | Harness architecture for rapidly building vertical AI agents |
| Stars | 4,188 | 811 |
| Forks | 552 | 82 |
| Open issues | 0 | 49 |
| Language | Jupyter Notebook | Python |
| Adopt for | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases |

## Trust and health

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

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [openagent](/tools/haohao-end-openagent.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Steady (60%) |
| Days since push | 20d | 64d |
| Open issues (now) | 0 | 49 |
| Stars delta | +295 (30d) | +19 (30d) |
| Open issues delta | 0 (30d) | +3 (30d) |
| Full report | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) |

## Decision facts: agentic-rag-for-dummies

- **Adopt for:** Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

## Decision facts: openagent

- **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license.

## Choose when

### Choose agentic-rag-for-dummies if…

- agentic-rag-for-dummies is primarily Jupyter Notebook; openagent is Python.
- Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

### Choose openagent if…

- openagent is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to openagent: ai, celery, deepagents, deepresearch.
- Also covers Vector Databases.
- Need integration of OpenAI and Dify functionalities.

## When NOT to use agentic-rag-for-dummies

- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details.
- Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.

## When NOT to use openagent

- Projects requiring only basic AI functionality without deep reasoning loops or RAG.
- Teams preferring non-Python environments for AI agent development.

## Common questions

### What is the difference between agentic-rag-for-dummies and openagent?

agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. openagent: Harness architecture for rapidly building vertical AI agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentic-rag-for-dummies over openagent?

Choose agentic-rag-for-dummies over openagent when agentic-rag-for-dummies is primarily Jupyter Notebook; openagent is Python; Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

### When should I choose openagent over agentic-rag-for-dummies?

Choose openagent over agentic-rag-for-dummies when openagent is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to openagent: ai, celery, deepagents, deepresearch; Also covers Vector Databases; Need integration of OpenAI and Dify functionalities.

### When should I avoid agentic-rag-for-dummies?

If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.

### When should I avoid openagent?

Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development.

### Is agentic-rag-for-dummies or openagent more popular on GitHub?

agentic-rag-for-dummies has more GitHub stars (4,188 vs 811). Stars measure visibility, not whether either tool fits your constraints.

### Are agentic-rag-for-dummies and openagent open source?

Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, openagent: MIT).

### Where can I find alternatives to agentic-rag-for-dummies or openagent?

GraphCanon lists graph-backed alternatives at [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) and [openagent alternatives](/tools/haohao-end-openagent/alternatives) ([agentic-rag-for-dummies markdown twin](/tools/giovannipasq-agentic-rag-for-dummies/alternatives.md), [openagent markdown twin](/tools/haohao-end-openagent/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/giovannipasq-agentic-rag-for-dummies-vs-haohao-end-openagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentic-rag-for-dummies or openagent?

agentic-rag-for-dummies: Active. openagent: Steady. 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 agentic-rag-for-dummies and openagent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-rag-for-dummies trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust); [openagent trust report](/tools/haohao-end-openagent/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies`](/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies)
- 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/_