---
title: "awesome-ai-sdks vs kong"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/e2b-dev-awesome-ai-sdks-vs-kong-kong"
tools: ["e2b-dev-awesome-ai-sdks", "kong-kong"]
---

# awesome-ai-sdks vs kong

*GraphCanon updated Aug 25, 2026*

## Verdict

Pick awesome-ai-sdks if awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems; pick kong if kong is Lua-based and Apache-2.0 licensed for API and AI gateway purposes.

[awesome-ai-sdks](https://github.com/e2b-dev/awesome-ai-sdks) reports 1.2k GitHub stars, 361 forks, and 241 open issues, last pushed Jul 9, 2026. [kong](https://konghq.com/install/) has 44k stars, 5.2k forks, and 190 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [awesome-ai-sdks's repository](https://github.com/e2b-dev/awesome-ai-sdks) and [kong's repository](https://github.com/Kong/kong).

| | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [kong](/tools/kong-kong.md) |
| --- | --- | --- |
| Tagline | A database of SDKs for AI agents creation and management | The API and AI Gateway |
| Stars | 1,213 | 44,035 |
| Forks | 361 | 5,206 |
| Open issues | 241 | 190 |
| Language | - | Lua |
| Adopt for | awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. | Kong is Lua-based and Apache-2.0 licensed for API and AI gateway purposes. |
| Persona | - | - |
| Runtime | - | - |
| License | - | Apache-2.0 |
| Categories | AI Agents, Developer Tools | Developer Tools |

## Trust and health

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

| | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [kong](/tools/kong-kong.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Active (82%) |
| Days since push | 42d | 9d |
| Open issues (now) | 241 | 190 |
| Stars delta | +6 (30d) | +177 (30d) |
| Open issues delta | +29 (30d) | +23 (30d) |
| Full report | [trust report](/tools/e2b-dev-awesome-ai-sdks/trust.md) | [trust report](/tools/kong-kong/trust.md) |

## Decision facts: awesome-ai-sdks

- **Adopt for:** awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.

## Decision facts: kong

- **Adopt for:** Kong is Lua-based and Apache-2.0 licensed for API and AI gateway purposes.

## Choose when

### Choose awesome-ai-sdks if…

- Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain.
- Also covers AI Agents.
- When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.

### Choose kong if…

- Tags unique to kong: ai-gateway, api-gateway, cloud-native, kubernetes.
- requires Lua scripting
- More GitHub stars (44k vs 1.2k) - visibility, not fit.

## When NOT to use awesome-ai-sdks

- For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive.
- If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.

## When NOT to use kong

- prefers non-Lua languages
- seeks competitor-native AI capabilities

## Common questions

### What is the difference between awesome-ai-sdks and kong?

awesome-ai-sdks: A database of SDKs for AI agents creation and management. kong: The API and AI Gateway. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-ai-sdks over kong?

Choose awesome-ai-sdks over kong when Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain; Also covers AI Agents; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.

### When should I choose kong over awesome-ai-sdks?

Choose kong over awesome-ai-sdks when Tags unique to kong: ai-gateway, api-gateway, cloud-native, kubernetes; requires Lua scripting; More GitHub stars (44k vs 1.2k) - visibility, not fit.

### When should I avoid awesome-ai-sdks?

For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.

### When should I avoid kong?

prefers non-Lua languages seeks competitor-native AI capabilities

### Is awesome-ai-sdks or kong more popular on GitHub?

kong has more GitHub stars (44,035 vs 1,213). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-ai-sdks and kong open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-ai-sdks or kong?

GraphCanon lists graph-backed alternatives at [awesome-ai-sdks alternatives](/tools/e2b-dev-awesome-ai-sdks/alternatives) and [kong alternatives](/tools/kong-kong/alternatives) ([awesome-ai-sdks markdown twin](/tools/e2b-dev-awesome-ai-sdks/alternatives.md), [kong markdown twin](/tools/kong-kong/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/e2b-dev-awesome-ai-sdks-vs-kong-kong.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-ai-sdks or kong?

awesome-ai-sdks: Steady. kong: 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-ai-sdks and kong?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-sdks trust report](/tools/e2b-dev-awesome-ai-sdks/trust); [kong trust report](/tools/kong-kong/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks`](/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks)
- 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/_
