---
title: "agentic-rag-for-dummies vs openagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/giovannipasq-agentic-rag-for-dummies-vs-the-open-agent-openagent"
tools: ["giovannipasq-agentic-rag-for-dummies", "the-open-agent-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 next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on Go language.

[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://openagentai.org) has 5.6k stars, 657 forks, and 45 open issues, last pushed Sep 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/the-open-agent/openagent).

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [openagent](/tools/the-open-agent-openagent.md) |
| --- | --- | --- |
| Tagline | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents | next-generation personal AI assistant powered by LLM, RAG and agent loops |
| Stars | 4,188 | 5,628 |
| Forks | 552 | 657 |
| Open issues | 0 | 45 |
| Language | Jupyter Notebook | Go |
| Adopt for | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. | next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on Go language |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks |

## 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/the-open-agent-openagent.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 20d | 2d |
| Open issues (now) | 0 | 45 |
| Stars delta | +295 (30d) | +176 (30d) |
| Open issues delta | 0 (30d) | -2 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) | [trust report](/tools/the-open-agent-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:** next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on Go language

## Choose when

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

- agentic-rag-for-dummies is primarily Jupyter Notebook; openagent is Go.
- License: agentic-rag-for-dummies is MIT, openagent is Apache-2.0.
- Tags unique to agentic-rag-for-dummies: bm25, gradio, langchain, ollama.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

### Choose openagent if…

- openagent is primarily Go; agentic-rag-for-dummies is Jupyter Notebook.
- License: openagent is Apache-2.0, agentic-rag-for-dummies is MIT.
- Tags unique to openagent: agi, chatbot, knowledge-base, openai.
- Also covers LLM Frameworks.
- openagent ships Docker support for self-hosted deployment.
- When needing advanced coding assistance, offering deep integration with the Go programming environment

## 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

- If looking for broader language support beyond the focus on Go, as openagent may not cater to other programming languages or frameworks as seamlessly
- In environments where real-time performance is critical, as its reliance on LLM and RAG might introduce latency

## 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: next-generation personal AI assistant powered by LLM, RAG and agent loops. 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 Go; License: agentic-rag-for-dummies is MIT, openagent is Apache-2.0; Tags unique to agentic-rag-for-dummies: bm25, gradio, langchain, ollama; 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 Go; agentic-rag-for-dummies is Jupyter Notebook; License: openagent is Apache-2.0, agentic-rag-for-dummies is MIT; Tags unique to openagent: agi, chatbot, knowledge-base, openai; Also covers LLM Frameworks; openagent ships Docker support for self-hosted deployment; When needing advanced coding assistance, offering deep integration with the Go programming environment.

### 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?

If looking for broader language support beyond the focus on Go, as openagent may not cater to other programming languages or frameworks as seamlessly In environments where real-time performance is critical, as its reliance on LLM and RAG might introduce latency

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

openagent has more GitHub stars (5,628 vs 4,188). 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: Apache-2.0).

### 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/the-open-agent-openagent/alternatives) ([agentic-rag-for-dummies markdown twin](/tools/giovannipasq-agentic-rag-for-dummies/alternatives.md), [openagent markdown twin](/tools/the-open-agent-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-the-open-agent-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: Very active. 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/the-open-agent-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/_