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

# awesome-ai-sdks vs open-connector

*GraphCanon updated Aug 23, 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 open-connector if open-connector is an open-source auth gateway that connects more than 1000 SaaS providers to AI agents through multiple protocols including SDK and CLI.

[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. [open-connector](https://oomol.com) has 3.4k stars, 261 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [awesome-ai-sdks's repository](https://github.com/e2b-dev/awesome-ai-sdks) and [open-connector's repository](https://github.com/oomol-lab/open-connector).

| | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [open-connector](/tools/oomol-lab-open-connector.md) |
| --- | --- | --- |
| Tagline | A database of SDKs for AI agents creation and management | Open-source auth gateway connecting SaaS providers to AI agents via SDK, CLI, MCP, HTTP, and OpenAPI. |
| Stars | 1,213 | 3,362 |
| Forks | 361 | 261 |
| Open issues | 241 | 3 |
| Language | - | TypeScript |
| 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. | open-connector is an open-source auth gateway that connects more than 1000 SaaS providers to AI agents through multiple protocols including SDK and CLI. |
| Persona | - | - |
| Runtime | - | - |
| License | - | Apache-2.0, allowing redistribution and modification under the terms of the license |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [open-connector](/tools/oomol-lab-open-connector.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 42d | 1d |
| Open issues (now) | 241 | 3 |
| Stars delta | +6 (30d) | Unknown |
| Open issues delta | +29 (30d) | Unknown |
| Full report | [trust report](/tools/e2b-dev-awesome-ai-sdks/trust.md) | [trust report](/tools/oomol-lab-open-connector/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: open-connector

- **Adopt for:** open-connector is an open-source auth gateway that connects more than 1000 SaaS providers to AI agents through multiple protocols including SDK and CLI.
- **License detail:** Apache-2.0, allowing redistribution and modification under the terms of the license
- **Runtime:** unknown

## Choose when

### Choose awesome-ai-sdks if…

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

### Choose open-connector if…

- Tags unique to open-connector: agent-tools, api-gateway, automation, cli.
- open-connector ships Docker support for self-hosted deployment.
- open-connector ships an MCP server manifest.
- When you need integration with over a thousand SaaS platforms, offering broad compatibility across various services and industries.

## 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 open-connector

- For scenarios where a proprietary license is necessary as open-connector operates under Apache-2.0.
- In cases requiring an auth gateway that does not include support for OpenAPI or MCP (Model Context Protocol), distinguishing it from competitors who may offer exclusive support in these areas.

## Common questions

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

awesome-ai-sdks: A database of SDKs for AI agents creation and management. open-connector: Open-source auth gateway connecting SaaS providers to AI agents via SDK, CLI, MCP, HTTP, and OpenAPI.. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-ai-sdks over open-connector?

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

### When should I choose open-connector over awesome-ai-sdks?

Choose open-connector over awesome-ai-sdks when Tags unique to open-connector: agent-tools, api-gateway, automation, cli; open-connector ships Docker support for self-hosted deployment; open-connector ships an MCP server manifest; When you need integration with over a thousand SaaS platforms, offering broad compatibility across various services and industries.

### 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 open-connector?

For scenarios where a proprietary license is necessary as open-connector operates under Apache-2.0. In cases requiring an auth gateway that does not include support for OpenAPI or MCP (Model Context Protocol), distinguishing it from competitors who may offer exclusive support in these areas.

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

open-connector has more GitHub stars (3,362 vs 1,213). Stars measure visibility, not whether either tool fits your constraints.

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

Yes - both are open-source projects on GitHub.

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

GraphCanon lists graph-backed alternatives at [awesome-ai-sdks alternatives](/tools/e2b-dev-awesome-ai-sdks/alternatives) and [open-connector alternatives](/tools/oomol-lab-open-connector/alternatives) ([awesome-ai-sdks markdown twin](/tools/e2b-dev-awesome-ai-sdks/alternatives.md), [open-connector markdown twin](/tools/oomol-lab-open-connector/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-oomol-lab-open-connector.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 open-connector?

awesome-ai-sdks: Steady. open-connector: 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-ai-sdks and open-connector?

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); [open-connector trust report](/tools/oomol-lab-open-connector/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/_
