Home/Compare/AgentGuard vs circle-guard-bench

Comparison

AgentGuard vs circle-guard-bench

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 circle-guard-bench if circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.

Markdown twin · AgentGuard alternatives · circle-guard-bench alternatives

GraphCanon updated Sep 12, 2026

12views this month

AgentGuard logo

AgentGuard

dipampaul17/AgentGuard

173pushed Jul 31, 2025
vs
circle-guard-bench logo

circle-guard-bench

whitecircle/circle-guard-bench

75pushed Mar 7, 2026

Trust & integrity

SignalAgentGuardcircle-guard-bench
Maintenance
Dormant (407d since push)
As of Sep 12, 2026 · github_public_v1
Slowing (185d since push)
As of Sep 9, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 12, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 9, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · 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
circle-guard-bench
AI benchmark for evaluating LLM guard systems

Stars

AgentGuard
173
circle-guard-bench
75

Forks

AgentGuard
11
circle-guard-bench
5

Open issues

AgentGuard
2
circle-guard-bench
1

Language

AgentGuard
JavaScript
circle-guard-bench
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.
circle-guard-bench
circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.

Persona

AgentGuard
-
circle-guard-bench
-

Runtime

AgentGuard
-
circle-guard-bench
-

License

AgentGuard
MIT
circle-guard-bench
Apache-2.0

Last pushed

AgentGuard
Jul 31, 2025
circle-guard-bench
Mar 7, 2026

Categories

AgentGuard
Evaluation & Observability, Inference & Serving
circle-guard-bench
Evaluation & Observability

Trust and health

Maintenance

AgentGuard
Dormant (18%)
circle-guard-bench
Slowing (36%)

Days since push

AgentGuard
407d
circle-guard-bench
185d

Open issues (now)

AgentGuard
2
circle-guard-bench
1

Stars delta

AgentGuard
+2 (30d)
circle-guard-bench
+3 (30d)

Owner type

AgentGuard
User
circle-guard-bench
Organization

OSV dependency advisories

AgentGuard
Published findings
circle-guard-bench
No lockfile (source not queried)

Full report

AgentGuard
Trust report
circle-guard-bench
Trust report

Choose AgentGuard if…

  • AgentGuard is primarily JavaScript; circle-guard-bench is Python.
  • License: AgentGuard is MIT, circle-guard-bench is Apache-2.0.
  • 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 circle-guard-bench if…

  • circle-guard-bench is primarily Python; AgentGuard is JavaScript.
  • License: circle-guard-bench is Apache-2.0, AgentGuard is MIT.
  • Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large language models.
  • Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections.

When NOT to use circle-guard-bench

  • Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance.
  • Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AgentGuard 173 · circle-guard-bench 75 (synced Sep 12, 2026).

Common questions

What is the difference between AgentGuard and circle-guard-bench?
AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. circle-guard-bench: AI benchmark for evaluating LLM guard systems. See the comparison table for live GitHub stats and shared categories.
When should I choose AgentGuard over circle-guard-bench?
Choose AgentGuard over circle-guard-bench when AgentGuard is primarily JavaScript; circle-guard-bench is Python; License: AgentGuard is MIT, circle-guard-bench is Apache-2.0; 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 circle-guard-bench over AgentGuard?
Choose circle-guard-bench over AgentGuard when circle-guard-bench is primarily Python; AgentGuard is JavaScript; License: circle-guard-bench is Apache-2.0, AgentGuard is MIT; Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large language models; Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections.
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 circle-guard-bench?
Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance. Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.
Is AgentGuard or circle-guard-bench more popular on GitHub?
AgentGuard has more GitHub stars (173 vs 75). Stars measure visibility, not whether either tool fits your constraints.
Are AgentGuard and circle-guard-bench open source?
Yes - both are open-source projects on GitHub (AgentGuard: MIT, circle-guard-bench: Apache-2.0).
Where can I find alternatives to AgentGuard or circle-guard-bench?
GraphCanon lists graph-backed alternatives at AgentGuard alternatives and circle-guard-bench alternatives (AgentGuard markdown twin, circle-guard-bench 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 circle-guard-bench?
AgentGuard: Dormant. circle-guard-bench: 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 circle-guard-bench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; circle-guard-bench trust report.

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