Comparison
AgentGuard vs do-not-answer
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 do-not-answer if dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses.
Markdown twin · AgentGuard alternatives · do-not-answer alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AgentGuard | do-not-answer |
|---|---|---|
| Maintenance | Dormant (373d since push) As of 1w · github_public_v1 | Dormant (788d 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
- do-not-answer
- A Dataset for Evaluating Safeguards in LLMs
Stars
- AgentGuard
- 171
- do-not-answer
- 339
Forks
- AgentGuard
- 10
- do-not-answer
- 29
Open issues
- AgentGuard
- 1
- do-not-answer
- 0
Language
- AgentGuard
- JavaScript
- do-not-answer
- Jupyter Notebook
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.
- do-not-answer
- Dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses.
Persona
- AgentGuard
- -
- do-not-answer
- -
Runtime
- AgentGuard
- -
- do-not-answer
- -
License
- AgentGuard
- MIT
- do-not-answer
- Dual licensing model, datasets under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and source files under Apache 2.0 license.
Last pushed
- AgentGuard
- Jul 31, 2025
- do-not-answer
- Jun 7, 2024
Categories
- AgentGuard
- Evaluation & Observability, Inference & Serving
- do-not-answer
- Evaluation & Observability
Trust and health
Days since push
- AgentGuard
- 373d
- do-not-answer
- 788d
Open issues (now)
- AgentGuard
- 1
- do-not-answer
- 0
Owner type
- AgentGuard
- User
- do-not-answer
- Organization
OSV dependency advisories
- AgentGuard
- Published findings
- do-not-answer
- No lockfile (source not queried)
Full report
- AgentGuard
- Trust report
- do-not-answer
- Trust report
Choose AgentGuard if…
- AgentGuard is primarily JavaScript; do-not-answer is Jupyter Notebook.
- License: AgentGuard is MIT, do-not-answer 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 do-not-answer if…
- do-not-answer is primarily Jupyter Notebook; AgentGuard is JavaScript.
- License: do-not-answer is Apache-2.0, AgentGuard is MIT.
- Tags unique to do-not-answer: datasets, ethical ai, llm-evaluation, safeguard testing.
- To assess the reliability of safeguards implemented in your Large Language Model.
When NOT to use do-not-answer
- If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them.
- Your project does not involve assessing ethical compliance or safeguard measures within language models.
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 (Libr-AI/do-not-answer) · observed Aug 5, 2026
- GitHub forks (Libr-AI/do-not-answer) · observed Aug 5, 2026
- Last push (Libr-AI/do-not-answer) · observed Jun 7, 2024
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AgentGuard 171 · do-not-answer 339 (synced Aug 9, 2026).
Common questions
- What is the difference between AgentGuard and do-not-answer?
- AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. do-not-answer: A Dataset for Evaluating Safeguards in LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose AgentGuard over do-not-answer?
- Choose AgentGuard over do-not-answer when AgentGuard is primarily JavaScript; do-not-answer is Jupyter Notebook; License: AgentGuard is MIT, do-not-answer 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 do-not-answer over AgentGuard?
- Choose do-not-answer over AgentGuard when do-not-answer is primarily Jupyter Notebook; AgentGuard is JavaScript; License: do-not-answer is Apache-2.0, AgentGuard is MIT; Tags unique to do-not-answer: datasets, ethical ai, llm-evaluation, safeguard testing; To assess the reliability of safeguards implemented in your Large Language Model.
- 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 do-not-answer?
- If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them. Your project does not involve assessing ethical compliance or safeguard measures within language models.
- Is AgentGuard or do-not-answer more popular on GitHub?
- do-not-answer has more GitHub stars (339 vs 171). Stars measure visibility, not whether either tool fits your constraints.
- Are AgentGuard and do-not-answer open source?
- Yes - both are open-source projects on GitHub (AgentGuard: MIT, do-not-answer: Apache-2.0).
- Where can I find alternatives to AgentGuard or do-not-answer?
- GraphCanon lists graph-backed alternatives at AgentGuard alternatives and do-not-answer alternatives (AgentGuard markdown twin, do-not-answer 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 do-not-answer?
- AgentGuard: Dormant. do-not-answer: 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 do-not-answer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; do-not-answer trust report.