Comparison
AgentGuard vs llm-guard
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-guard if lLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Markdown twin · AgentGuard alternatives · llm-guard alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AgentGuard | llm-guard |
|---|---|---|
| Maintenance | Dormant (373d since push) As of 1w · github_public_v1 | Archived (27d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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-guard
- The Security Toolkit for LLM Interactions
Stars
- AgentGuard
- 171
- llm-guard
- 3.2k
Forks
- AgentGuard
- 10
- llm-guard
- 435
Open issues
- AgentGuard
- 1
- llm-guard
- 40
Language
- AgentGuard
- JavaScript
- llm-guard
- 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-guard
- LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Persona
- AgentGuard
- -
- llm-guard
- -
Runtime
- AgentGuard
- -
- llm-guard
- -
License
- AgentGuard
- MIT
- llm-guard
- MIT
Last pushed
- AgentGuard
- Jul 31, 2025
- llm-guard
- Jul 8, 2026
Categories
- AgentGuard
- Evaluation & Observability, Inference & Serving
- llm-guard
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- AgentGuard
- Dormant (18%)
- llm-guard
- Archived (8%)
Days since push
- AgentGuard
- 373d
- llm-guard
- 27d
Archived on GitHub
- AgentGuard
- No
- llm-guard
- Yes
Open issues (now)
- AgentGuard
- 1
- llm-guard
- 40
Owner type
- AgentGuard
- User
- llm-guard
- Organization
OSV dependency advisories
- AgentGuard
- Published findings
- llm-guard
- No lockfile (source not queried)
Full report
- AgentGuard
- Trust report
- llm-guard
- Trust report
Choose AgentGuard if…
- AgentGuard is primarily JavaScript; llm-guard is Python.
- 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-guard if…
- llm-guard is primarily Python; AgentGuard is JavaScript.
- Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed..
- Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security.
- Also covers Developer Tools.
- - You need to secure your application from sophisticated prompt injection techniques.
When NOT to use llm-guard
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
- - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
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 (protectai/llm-guard) · observed Aug 5, 2026
- GitHub forks (protectai/llm-guard) · observed Aug 5, 2026
- Last push (protectai/llm-guard) · observed Jul 8, 2026
- License file (MIT) · 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-guard 3.2k (synced Aug 9, 2026).
Common questions
- What is the difference between AgentGuard and llm-guard?
- AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories.
- When should I choose AgentGuard over llm-guard?
- Choose AgentGuard over llm-guard when AgentGuard is primarily JavaScript; llm-guard is Python; 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-guard over AgentGuard?
- Choose llm-guard over AgentGuard when llm-guard is primarily Python; AgentGuard is JavaScript; Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security; Also covers Developer Tools; - You need to secure your application from sophisticated prompt injection techniques.
- 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-guard?
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
- Is AgentGuard or llm-guard more popular on GitHub?
- llm-guard has more GitHub stars (3,202 vs 171). Stars measure visibility, not whether either tool fits your constraints.
- Are AgentGuard and llm-guard open source?
- Yes - both are open-source projects on GitHub (AgentGuard: MIT, llm-guard: MIT).
- Where can I find alternatives to AgentGuard or llm-guard?
- GraphCanon lists graph-backed alternatives at AgentGuard alternatives and llm-guard alternatives (AgentGuard markdown twin, llm-guard 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-guard?
- AgentGuard: Dormant. llm-guard: Archived. 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-guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; llm-guard trust report.