---
title: "AgentGuard vs PROMPTPurify"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-securelayer7-promptpurify"
tools: ["dipampaul17-agentguard", "securelayer7-promptpurify"]
---

# AgentGuard vs PROMPTPurify

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick AgentGuard if agentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic; pick PROMPTPurify if pROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures.

[AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 173 GitHub stars, 11 forks, and 2 open issues, last pushed Jul 31, 2025. [PROMPTPurify](https://anton.securelayer7.net) has 79 stars, 20 forks, and 0 open issues, last pushed May 31, 2026. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [PROMPTPurify's repository](https://github.com/securelayer7/PROMPTPurify).

| | [AgentGuard](/tools/dipampaul17-agentguard.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) |
| --- | --- | --- |
| Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | Prompt-injection guardrail for LLM applications |
| Stars | 173 | 79 |
| Forks | 11 | 20 |
| Open issues | 2 | 0 |
| Language | JavaScript | TypeScript |
| Adopt for | AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic. | PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Evaluation & Observability, Inference & Serving | Evaluation & Observability, LLM Frameworks |

## Trust and health

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

| | [AgentGuard](/tools/dipampaul17-agentguard.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 407d | 104d |
| Open issues (now) | 2 | 0 |
| Stars delta | +2 (30d) | +4 (30d) |
| Open issues delta | +1 (30d) | 0 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/securelayer7-promptpurify/trust.md) |

## Decision facts: AgentGuard

- **Adopt for:** AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic.

## Decision facts: PROMPTPurify

- **Pricing:** freemium - The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.
- **Requirements:** - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.
- **Adopt for:** PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures.

## Choose when

### Choose AgentGuard if…

- AgentGuard is primarily JavaScript; PROMPTPurify is TypeScript.
- Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability.
- Also covers Inference & Serving.
- When you need precise control over spend and want live updates on token prices

### Choose PROMPTPurify if…

- PROMPTPurify is primarily TypeScript; AgentGuard is JavaScript.
- Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup..
- Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration..
- Tags unique to PROMPTPurify: ai-firewall, ai-safety, ai-security, application-security.
- Also covers LLM Frameworks.
- - When you require compact model solutions that outperform larger open-source guards.

## When NOT to use AgentGuard

- If you prioritize a different language for your project and cannot use JavaScript
- In cases requiring more elaborate fallback mechanisms than what AgentGuard offers

## When NOT to use PROMPTPurify

- - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them.
- - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection.

## Common questions

### What is the difference between AgentGuard and PROMPTPurify?

AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. PROMPTPurify: Prompt-injection guardrail for LLM applications. See the comparison table for live GitHub stats and shared categories.

### When should I choose AgentGuard over PROMPTPurify?

Choose AgentGuard over PROMPTPurify when AgentGuard is primarily JavaScript; PROMPTPurify is TypeScript; Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability; Also covers Inference & Serving; When you need precise control over spend and want live updates on token prices.

### When should I choose PROMPTPurify over AgentGuard?

Choose PROMPTPurify over AgentGuard when PROMPTPurify is primarily TypeScript; AgentGuard is JavaScript; Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.; Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.; Tags unique to PROMPTPurify: ai-firewall, ai-safety, ai-security, application-security; Also covers LLM Frameworks; - When you require compact model solutions that outperform larger open-source guards.

### When should I avoid AgentGuard?

If you prioritize a different language for your project and cannot use JavaScript In cases requiring more elaborate fallback mechanisms than what AgentGuard offers

### When should I avoid PROMPTPurify?

- Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection.

### Is AgentGuard or PROMPTPurify more popular on GitHub?

AgentGuard has more GitHub stars (173 vs 79). Stars measure visibility, not whether either tool fits your constraints.

### Are AgentGuard and PROMPTPurify open source?

Yes - both are open-source projects on GitHub (AgentGuard: MIT, PROMPTPurify: MIT).

### Where can I find alternatives to AgentGuard or PROMPTPurify?

GraphCanon lists graph-backed alternatives at [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) and [PROMPTPurify alternatives](/tools/securelayer7-promptpurify/alternatives) ([AgentGuard markdown twin](/tools/dipampaul17-agentguard/alternatives.md), [PROMPTPurify markdown twin](/tools/securelayer7-promptpurify/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/dipampaul17-agentguard-vs-securelayer7-promptpurify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AgentGuard or PROMPTPurify?

AgentGuard: Dormant. PROMPTPurify: Slowing. 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 AgentGuard and PROMPTPurify?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [PROMPTPurify trust report](/tools/securelayer7-promptpurify/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=dipampaul17-agentguard`](/api/graphcanon/graph?tool=dipampaul17-agentguard)
- 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/_
