Comparison
AgentGuard vs raga-llm-hub
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 raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Markdown twin · AgentGuard alternatives · raga-llm-hub alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AgentGuard | raga-llm-hub |
|---|---|---|
| Maintenance | Dormant (373d since push) As of 1w · github_public_v1 | Dormant (687d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- raga-llm-hub
- Framework for LLM evaluation, guardrails and security
Stars
- AgentGuard
- 171
- raga-llm-hub
- 114
Forks
- AgentGuard
- 10
- raga-llm-hub
- 14
Open issues
- AgentGuard
- 1
- raga-llm-hub
- 2
Language
- AgentGuard
- JavaScript
- raga-llm-hub
- 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.
- raga-llm-hub
- Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Persona
- AgentGuard
- -
- raga-llm-hub
- -
Runtime
- AgentGuard
- -
- raga-llm-hub
- -
License
- AgentGuard
- MIT
- raga-llm-hub
- The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects.
Last pushed
- AgentGuard
- Jul 31, 2025
- raga-llm-hub
- Sep 9, 2024
Categories
- AgentGuard
- Evaluation & Observability, Inference & Serving
- raga-llm-hub
- Evaluation & Observability
Trust and health
Days since push
- AgentGuard
- 373d
- raga-llm-hub
- 687d
Open issues (now)
- AgentGuard
- 1
- raga-llm-hub
- 2
Owner type
- AgentGuard
- User
- raga-llm-hub
- Organization
OSV dependency advisories
- AgentGuard
- Published findings
- raga-llm-hub
- No lockfile (source not queried)
Full report
- AgentGuard
- Trust report
- raga-llm-hub
- Trust report
Choose AgentGuard if…
- AgentGuard is primarily JavaScript; raga-llm-hub is Python.
- License: AgentGuard is MIT, raga-llm-hub is Other.
- 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 raga-llm-hub if…
- raga-llm-hub is primarily Python; AgentGuard is JavaScript.
- License: raga-llm-hub is Other, AgentGuard is MIT.
- Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use..
- Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements..
- Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops.
- When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
When NOT to use raga-llm-hub
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python.
- Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
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 (raga-ai-hub/raga-llm-hub) · observed Jul 29, 2026
- GitHub forks (raga-ai-hub/raga-llm-hub) · observed Jul 29, 2026
- Last push (raga-ai-hub/raga-llm-hub) · observed Sep 9, 2024
- License file (Other) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AgentGuard 171 · raga-llm-hub 114 (synced Aug 9, 2026).
Common questions
- What is the difference between AgentGuard and raga-llm-hub?
- AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories.
- When should I choose AgentGuard over raga-llm-hub?
- Choose AgentGuard over raga-llm-hub when AgentGuard is primarily JavaScript; raga-llm-hub is Python; License: AgentGuard is MIT, raga-llm-hub is Other; 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 raga-llm-hub over AgentGuard?
- Choose raga-llm-hub over AgentGuard when raga-llm-hub is primarily Python; AgentGuard is JavaScript; License: raga-llm-hub is Other, AgentGuard is MIT; Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
- 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 raga-llm-hub?
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
- Is AgentGuard or raga-llm-hub more popular on GitHub?
- AgentGuard has more GitHub stars (171 vs 114). Stars measure visibility, not whether either tool fits your constraints.
- Are AgentGuard and raga-llm-hub open source?
- Yes - both are open-source projects on GitHub (AgentGuard: MIT, raga-llm-hub: Other).
- Where can I find alternatives to AgentGuard or raga-llm-hub?
- GraphCanon lists graph-backed alternatives at AgentGuard alternatives and raga-llm-hub alternatives (AgentGuard markdown twin, raga-llm-hub 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 raga-llm-hub?
- AgentGuard: Dormant. raga-llm-hub: 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 raga-llm-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; raga-llm-hub trust report.