---
title: "awesome-llm-apps vs openagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/shubhamsaboo-awesome-llm-apps-vs-the-open-agent-openagent"
tools: ["shubhamsaboo-awesome-llm-apps", "the-open-agent-openagent"]
---

# awesome-llm-apps vs openagent

*GraphCanon updated Aug 26, 2026*

## Verdict

Pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python; 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.

[awesome-llm-apps](https://www.theunwindai.com) reports 131k GitHub stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. [openagent](https://www.openagentai.org/) has 5.6k stars, 647 forks, and 48 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps) and [openagent's repository](https://github.com/the-open-agent/openagent).

| | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [openagent](/tools/the-open-agent-openagent.md) |
| --- | --- | --- |
| Tagline | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | next-generation personal AI assistant powered by LLM, RAG and agent loops |
| Stars | 131,230 | 5,566 |
| Forks | 19,346 | 647 |
| Open issues | 13 | 48 |
| Language | Python | Go |
| Adopt for | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | 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 | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | 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._

| | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [openagent](/tools/the-open-agent-openagent.md) |
| --- | --- | --- |
| Days since push | 4d | 5d |
| Open issues (now) | 13 | 48 |
| Stars delta | +14k (30d) | +114 (30d) |
| Open issues delta | +6 (30d) | +1 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | [trust report](/tools/the-open-agent-openagent/trust.md) |

## Shared compatibility

- **Node.js**: [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Node.js runtime; [openagent](/tools/the-open-agent-openagent.md) - Node.js runtime

## Decision facts: awesome-llm-apps

- **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed.
- **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.

## 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 awesome-llm-apps if…

- awesome-llm-apps is primarily Python; openagent is Go.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.

### Choose openagent if…

- openagent is primarily Go; awesome-llm-apps is Python.
- Tags unique to openagent: agent, agentic-ai, agi, chatbot.
- 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 awesome-llm-apps

- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

## 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 awesome-llm-apps and openagent?

awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. 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 awesome-llm-apps over openagent?

Choose awesome-llm-apps over openagent when awesome-llm-apps is primarily Python; openagent is Go; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.

### When should I choose openagent over awesome-llm-apps?

Choose openagent over awesome-llm-apps when openagent is primarily Go; awesome-llm-apps is Python; Tags unique to openagent: agent, agentic-ai, agi, chatbot; 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 awesome-llm-apps?

If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

### 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 awesome-llm-apps or openagent more popular on GitHub?

awesome-llm-apps has more GitHub stars (131,230 vs 5,566). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-apps and openagent open source?

Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, openagent: Apache-2.0).

### Where can I find alternatives to awesome-llm-apps or openagent?

GraphCanon lists graph-backed alternatives at [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) and [openagent alternatives](/tools/the-open-agent-openagent/alternatives) ([awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/shubhamsaboo-awesome-llm-apps-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, awesome-llm-apps or openagent?

awesome-llm-apps: Very 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 awesome-llm-apps and openagent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust); [openagent trust report](/tools/the-open-agent-openagent/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps`](/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps)
- 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/_