---
title: "awesome-llm-security vs superagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/corca-ai-awesome-llm-security-vs-superagent-ai-superagent"
tools: ["corca-ai-awesome-llm-security", "superagent-ai-superagent"]
---

# awesome-llm-security vs superagent

*GraphCanon updated Aug 14, 2026*

## Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick superagent if superagent is an open-source SDK designed to protect AI applications from prompt injections, data leaks, and harmful outputs. It supports integration directly.

[awesome-llm-security](https://github.com/corca-ai/awesome-llm-security) reports 1.7k GitHub stars, 312 forks, and 173 open issues, last pushed Aug 20, 2025. [superagent](https://superagent.sh) has 6.7k stars, 965 forks, and 12 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security) and [superagent's repository](https://github.com/superagent-ai/superagent).

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [superagent](/tools/superagent-ai-superagent.md) |
| --- | --- | --- |
| Tagline | A curation of tools, documents and projects about LLM Security | Superagent SDK |
| Stars | 1,672 | 6,713 |
| Forks | 312 | 965 |
| Open issues | 173 | 12 |
| Language | - | TypeScript |
| Adopt for | Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and | Superagent is an open-source SDK designed to protect AI applications from prompt injections, data leaks, and harmful outputs. It supports integration directly within TypeScript or Python applications. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT License permits use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the SDK, provided that copyright notices and license texts accompany any distributed parts. |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [superagent](/tools/superagent-ai-superagent.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 351d | 0d |
| Open issues (now) | 173 | 12 |
| Stars delta | Unknown | +41 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Full report | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) | [trust report](/tools/superagent-ai-superagent/trust.md) |

## Decision facts: awesome-llm-security

- **Hosting:** unknown
- **Pricing:** freemium - As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).
- **Adopt for:** Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and

## Decision facts: superagent

- **Hosting:** managed - Superagent requires integrating their API via an SDK for TypeScript or Python applications. Users must obtain an API key for accessing these services.
- **Adopt for:** Superagent is an open-source SDK designed to protect AI applications from prompt injections, data leaks, and harmful outputs. It supports integration directly within TypeScript or Python applications.
- **License detail:** MIT License permits use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the SDK, provided that copyright notices and license texts accompany any distributed parts.

## Choose when

### Choose awesome-llm-security if…

- awesome-llm-security targets  deployment.
- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

### Choose superagent if…

- superagent targets Superagent requires integrating their API via an SDK for TypeScript or Python applications. Users must obtain an API key for accessing these services. deployment.
- Tags unique to superagent: ai, anthropic, guardrails, openai.
- Use Superagent when you need a proactive solution that can detect and block malicious activities such as prompt injections and redact personal information automatically.

## When NOT to use awesome-llm-security

- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

## When NOT to use superagent

- Avoid using Superagent when your project does not require the specific safety measures it offers, such as prompt injection prevention or scanning GitHub repositories for malicious activities.
- If another tool in the same category provides better coverage or more advanced features that are critical to your application's security needs and aligns closer with your tech stack.

## Common questions

### What is the difference between awesome-llm-security and superagent?

awesome-llm-security: A curation of tools, documents and projects about LLM Security. superagent: Superagent SDK. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llm-security over superagent?

Choose awesome-llm-security over superagent when awesome-llm-security targets  deployment; Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

### When should I choose superagent over awesome-llm-security?

Choose superagent over awesome-llm-security when superagent targets Superagent requires integrating their API via an SDK for TypeScript or Python applications. Users must obtain an API key for accessing these services. deployment; Tags unique to superagent: ai, anthropic, guardrails, openai; Use Superagent when you need a proactive solution that can detect and block malicious activities such as prompt injections and redact personal information automatically.

### When should I avoid awesome-llm-security?

When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

### When should I avoid superagent?

Avoid using Superagent when your project does not require the specific safety measures it offers, such as prompt injection prevention or scanning GitHub repositories for malicious activities. If another tool in the same category provides better coverage or more advanced features that are critical to your application's security needs and aligns closer with your tech stack.

### Is awesome-llm-security or superagent more popular on GitHub?

superagent has more GitHub stars (6,713 vs 1,672). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-security and superagent open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-llm-security or superagent?

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

### Which is better maintained, awesome-llm-security or superagent?

awesome-llm-security: Slowing. superagent: 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-security and superagent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-security trust report](/tools/corca-ai-awesome-llm-security/trust); [superagent trust report](/tools/superagent-ai-superagent/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=corca-ai-awesome-llm-security`](/api/graphcanon/graph?tool=corca-ai-awesome-llm-security)
- 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/_