---
title: "AgentGuard vs llm-self-defense"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-poloclub-llm-self-defense"
tools: ["dipampaul17-agentguard", "poloclub-llm-self-defense"]
---

# AgentGuard vs llm-self-defense

*GraphCanon updated Aug 9, 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 llm-self-defense if mitigates harmful content generation via self-examination by LLM outputs without fine-tuning.

[AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 171 GitHub stars, 10 forks, and 1 open issues, last pushed Jul 31, 2025. [llm-self-defense](https://github.com/poloclub/llm-self-defense) has 52 stars, 7 forks, and 7 open issues, last pushed May 21, 2024. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [llm-self-defense's repository](https://github.com/poloclub/llm-self-defense).

| | [AgentGuard](/tools/dipampaul17-agentguard.md) | [llm-self-defense](/tools/poloclub-llm-self-defense.md) |
| --- | --- | --- |
| Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | LLM Self Defense: By Self Examination, LLMs know they are being tricked |
| Stars | 171 | 52 |
| Forks | 10 | 7 |
| Open issues | 1 | 7 |
| Language | JavaScript | Python |
| 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. | Mitigates harmful content generation via self-examination by LLM outputs without fine-tuning. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | BSD-3-Clause |
| Categories | Evaluation & Observability, Inference & Serving | Evaluation & Observability |

## Trust and health

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

| | [AgentGuard](/tools/dipampaul17-agentguard.md) | [llm-self-defense](/tools/poloclub-llm-self-defense.md) |
| --- | --- | --- |
| Days since push | 373d | 805d |
| Open issues (now) | 1 | 7 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/poloclub-llm-self-defense/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: llm-self-defense

- **Adopt for:** Mitigates harmful content generation via self-examination by LLM outputs without fine-tuning.

## Choose when

### Choose AgentGuard if…

- AgentGuard is primarily JavaScript; llm-self-defense is Python.
- License: AgentGuard is MIT, llm-self-defense is BSD-3-Clause.
- 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 llm-self-defense if…

- llm-self-defense is primarily Python; AgentGuard is JavaScript.
- License: llm-self-defense is BSD-3-Clause, AgentGuard is MIT.
- Tags unique to llm-self-defense: adversarial prompts, gpt 3.5, harmful content reduction, llama-2.
- When you need to reduce the success rate of adversarial attacks on text generation.

## 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 llm-self-defense

- If real-time performance is critical and additional latency cannot be tolerated.
- In scenarios where API access to both GPT 3.5 and Llama models is not feasible.

## Common questions

### What is the difference between AgentGuard and llm-self-defense?

AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. llm-self-defense: LLM Self Defense: By Self Examination, LLMs know they are being tricked. See the comparison table for live GitHub stats and shared categories.

### When should I choose AgentGuard over llm-self-defense?

Choose AgentGuard over llm-self-defense when AgentGuard is primarily JavaScript; llm-self-defense is Python; License: AgentGuard is MIT, llm-self-defense is BSD-3-Clause; 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 llm-self-defense over AgentGuard?

Choose llm-self-defense over AgentGuard when llm-self-defense is primarily Python; AgentGuard is JavaScript; License: llm-self-defense is BSD-3-Clause, AgentGuard is MIT; Tags unique to llm-self-defense: adversarial prompts, gpt 3.5, harmful content reduction, llama-2; When you need to reduce the success rate of adversarial attacks on text generation.

### 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 llm-self-defense?

If real-time performance is critical and additional latency cannot be tolerated. In scenarios where API access to both GPT 3.5 and Llama models is not feasible.

### Is AgentGuard or llm-self-defense more popular on GitHub?

AgentGuard has more GitHub stars (171 vs 52). Stars measure visibility, not whether either tool fits your constraints.

### Are AgentGuard and llm-self-defense open source?

Yes - both are open-source projects on GitHub (AgentGuard: MIT, llm-self-defense: BSD-3-Clause).

### Where can I find alternatives to AgentGuard or llm-self-defense?

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

### Which is better maintained, AgentGuard or llm-self-defense?

AgentGuard: Dormant. llm-self-defense: Dormant. 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 llm-self-defense?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [llm-self-defense trust report](/tools/poloclub-llm-self-defense/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/_