Comparison
AgentGuard vs llm-self-defense
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.
Markdown twin · AgentGuard alternatives · llm-self-defense alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | AgentGuard | llm-self-defense |
|---|---|---|
| Maintenance | Dormant (373d since push) As of 2w · github_public_v1 | Dormant (805d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- AgentGuard
- 171
- llm-self-defense
- 52
Forks
- AgentGuard
- 10
- llm-self-defense
- 7
Open issues
- AgentGuard
- 1
- llm-self-defense
- 7
Language
- AgentGuard
- JavaScript
- llm-self-defense
- Python
Adopt for
- AgentGuard
- AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic.
- llm-self-defense
- Mitigates harmful content generation via self-examination by LLM outputs without fine-tuning.
Persona
- AgentGuard
- -
- llm-self-defense
- -
Runtime
- AgentGuard
- -
- llm-self-defense
- -
License
- AgentGuard
- MIT
- llm-self-defense
- BSD-3-Clause
Last pushed
- AgentGuard
- Jul 31, 2025
- llm-self-defense
- May 21, 2024
Categories
- AgentGuard
- Evaluation & Observability, Inference & Serving
- llm-self-defense
- Evaluation & Observability
Trust and health
Days since push
- AgentGuard
- 373d
- llm-self-defense
- 805d
Open issues (now)
- AgentGuard
- 1
- llm-self-defense
- 7
Owner type
- AgentGuard
- User
- llm-self-defense
- Organization
Full report
- AgentGuard
- Trust report
- llm-self-defense
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dipampaul17/AgentGuard) · observed Aug 9, 2026
- GitHub forks (dipampaul17/AgentGuard) · observed Aug 9, 2026
- Last push (dipampaul17/AgentGuard) · observed Jul 31, 2025
- License file (MIT) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (poloclub/llm-self-defense) · observed Aug 5, 2026
- GitHub forks (poloclub/llm-self-defense) · observed Aug 5, 2026
- Last push (poloclub/llm-self-defense) · observed May 21, 2024
- License file (BSD-3-Clause) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AgentGuard 171 · llm-self-defense 52 (synced Aug 9, 2026).
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 and llm-self-defense alternatives (AgentGuard markdown twin, llm-self-defense markdown twin), 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 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; llm-self-defense trust report.