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

# agentos vs agentic-rag-for-dummies

*GraphCanon updated Aug 23, 2026*

## Verdict

Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

[agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. [agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) has 3.9k stars, 499 forks, and 0 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies).

| | [agentos](/tools/framerslab-agentos.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents |
| Stars | 617 | 3,893 |
| Forks | 92 | 499 |
| Open issues | 10 | 0 |
| Language | TypeScript | Jupyter Notebook |
| Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents | AI Agents, Data & Retrieval |

## Trust and health

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

| | [agentos](/tools/framerslab-agentos.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Days since push | 15d | 19d |
| Open issues (now) | 10 | 0 |
| Stars delta | +16 (30d) | Unknown |
| Open issues delta | +1 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) |

## Decision facts: agentos

- **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

## 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.

## Choose when

### Choose agentos if…

- agentos is primarily TypeScript; agentic-rag-for-dummies is Jupyter Notebook.
- License: agentos is Apache-2.0, agentic-rag-for-dummies is MIT.
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents

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

- agentic-rag-for-dummies is primarily Jupyter Notebook; agentos is TypeScript.
- License: agentic-rag-for-dummies is MIT, agentos is Apache-2.0.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- Also covers Data & Retrieval.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

## When NOT to use agentos

- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options

## 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.

## Common questions

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

agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. See the comparison table for live GitHub stats and shared categories.

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

Choose agentos over agentic-rag-for-dummies when agentos is primarily TypeScript; agentic-rag-for-dummies is Jupyter Notebook; License: agentos is Apache-2.0, agentic-rag-for-dummies is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.

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

Choose agentic-rag-for-dummies over agentos when agentic-rag-for-dummies is primarily Jupyter Notebook; agentos is TypeScript; License: agentic-rag-for-dummies is MIT, agentos is Apache-2.0; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; Also covers Data & Retrieval; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

### When should I avoid agentos?

Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options

### 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.

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

agentic-rag-for-dummies has more GitHub stars (3,893 vs 617). Stars measure visibility, not whether either tool fits your constraints.

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

Yes - both are open-source projects on GitHub (agentos: Apache-2.0, agentic-rag-for-dummies: MIT).

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

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

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

agentos: Active. agentic-rag-for-dummies: 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 agentos and agentic-rag-for-dummies?

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

---

**Machine-readable endpoints**

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