Comparison
AgentGuard vs guidance
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 guidance if guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻.
Markdown twin · AgentGuard alternatives · guidance alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AgentGuard | guidance |
|---|---|---|
| Maintenance | Dormant (373d since push) As of 1w · github_public_v1 | Steady (78d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- guidance
- A guidance language for controlling large language models.
Stars
- AgentGuard
- 171
- guidance
- 22k
Forks
- AgentGuard
- 10
- guidance
- 1.2k
Open issues
- AgentGuard
- 1
- guidance
- 316
Language
- AgentGuard
- JavaScript
- guidance
- 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.
- guidance
- Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻
Persona
- AgentGuard
- -
- guidance
- -
Runtime
- AgentGuard
- -
- guidance
- -
License
- AgentGuard
- MIT
- guidance
- MIT
Last pushed
- AgentGuard
- Jul 31, 2025
- guidance
- May 21, 2026
Categories
- AgentGuard
- Evaluation & Observability, Inference & Serving
- guidance
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- AgentGuard
- Dormant (18%)
- guidance
- Steady (60%)
Days since push
- AgentGuard
- 373d
- guidance
- 78d
Open issues (now)
- AgentGuard
- 1
- guidance
- 316
Owner type
- AgentGuard
- User
- guidance
- Organization
OSV dependency advisories
- AgentGuard
- Published findings
- guidance
- No lockfile (source not queried)
Full report
- AgentGuard
- Trust report
- guidance
- Trust report
Choose AgentGuard if…
- AgentGuard is primarily JavaScript; guidance is Jupyter Notebook.
- Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability.
- Also covers Evaluation & Observability.
- 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 guidance if…
- guidance is primarily Jupyter Notebook; AgentGuard is JavaScript.
- Tags unique to guidance: backend support, control language, language-models, pip-installable.
- Also covers LLM Frameworks.
- When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI
When NOT to use guidance
- When your project is strictly confined to using only one type of backend which you can manage without a specialized control language
- If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
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 (guidance-ai/guidance) · observed Aug 7, 2026
- GitHub forks (guidance-ai/guidance) · observed Aug 7, 2026
- Last push (guidance-ai/guidance) · observed May 21, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AgentGuard 171 · guidance 22k (synced Aug 9, 2026).
Common questions
- What is the difference between AgentGuard and guidance?
- AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. guidance: A guidance language for controlling large language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose AgentGuard over guidance?
- Choose AgentGuard over guidance when AgentGuard is primarily JavaScript; guidance is Jupyter Notebook; Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability; Also covers Evaluation & Observability; When you need precise control over spend and want live updates on token prices.
- When should I choose guidance over AgentGuard?
- Choose guidance over AgentGuard when guidance is primarily Jupyter Notebook; AgentGuard is JavaScript; Tags unique to guidance: backend support, control language, language-models, pip-installable; Also covers LLM Frameworks; When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI.
- 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 guidance?
- When your project is strictly confined to using only one type of backend which you can manage without a specialized control language If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
- Is AgentGuard or guidance more popular on GitHub?
- guidance has more GitHub stars (21,706 vs 171). Stars measure visibility, not whether either tool fits your constraints.
- Are AgentGuard and guidance open source?
- Yes - both are open-source projects on GitHub (AgentGuard: MIT, guidance: MIT).
- Where can I find alternatives to AgentGuard or guidance?
- GraphCanon lists graph-backed alternatives at AgentGuard alternatives and guidance alternatives (AgentGuard markdown twin, guidance 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 guidance?
- AgentGuard: Dormant. guidance: Steady. 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 guidance?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; guidance trust report.