--- title: "AgentGuard vs giskard-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-giskard-ai-giskard-oss" tools: ["dipampaul17-agentguard", "giskard-ai-giskard-oss"] --- # AgentGuard vs giskard-oss *GraphCanon updated Sep 20, 2026* ## 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 giskard-oss if giskard-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing. [AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 173 GitHub stars, 11 forks, and 2 open issues, last pushed Jul 31, 2025. [giskard-oss](https://docs.giskard.ai) has 5.8k stars, 537 forks, and 65 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [giskard-oss's repository](https://github.com/Giskard-AI/giskard-oss). | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | Open-Source Evaluation & Testing library for LLM Agents | | Stars | 173 | 5,824 | | Forks | 11 | 537 | | Open issues | 2 | 65 | | Language | JavaScript | Python | | Adopt for | AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic. | Giskard-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Evaluation & Observability, Inference & Serving | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 407d | 0d | | Open issues (now) | 2 | 65 | | Stars delta | +2 (30d) | +97 (30d) | | Open issues delta | +1 (30d) | -27 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/giskard-ai-giskard-oss/trust.md) | ## Decision facts: AgentGuard - **Adopt for:** AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic. ## Decision facts: giskard-oss - **Adopt for:** Giskard-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing. ## Choose when ### Choose AgentGuard if… - AgentGuard is primarily JavaScript; giskard-oss is Python. - License: AgentGuard is MIT, giskard-oss 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 ### Choose giskard-oss if… - giskard-oss is primarily Python; AgentGuard is JavaScript. - License: giskard-oss is Apache-2.0, AgentGuard is MIT. - Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing. - When you need a comprehensive testing and evaluation library for agentic systems, including LLMs, black-box agents, and multi-step pipelines. ## 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 ## When NOT to use giskard-oss - If you are working with Python versions below 3.12, as Giskard-oss requires Python 3.12+. - When you prefer not to use tools that collect telemetry data, even if it is aggregated and does not include prompts or outputs. - If you are looking for a tool that does not offer a modular architecture, as Giskard-oss is built with a modular set of focused packages. - When you need a tool that does not support open-source licensing under Apache-2.0. ## Common questions ### What is the difference between AgentGuard and giskard-oss? AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. giskard-oss: Open-Source Evaluation & Testing library for LLM Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose AgentGuard over giskard-oss? Choose AgentGuard over giskard-oss when AgentGuard is primarily JavaScript; giskard-oss is Python; License: AgentGuard is MIT, giskard-oss 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 giskard-oss over AgentGuard? Choose giskard-oss over AgentGuard when giskard-oss is primarily Python; AgentGuard is JavaScript; License: giskard-oss is Apache-2.0, AgentGuard is MIT; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; When you need a comprehensive testing and evaluation library for agentic systems, including LLMs, black-box agents, and multi-step pipelines. ### 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 giskard-oss? If you are working with Python versions below 3.12, as Giskard-oss requires Python 3.12+. When you prefer not to use tools that collect telemetry data, even if it is aggregated and does not include prompts or outputs. If you are looking for a tool that does not offer a modular architecture, as Giskard-oss is built with a modular set of focused packages. When you need a tool that does not support open-source licensing under Apache-2.0. ### Is AgentGuard or giskard-oss more popular on GitHub? giskard-oss has more GitHub stars (5,824 vs 173). Stars measure visibility, not whether either tool fits your constraints. ### Are AgentGuard and giskard-oss open source? Yes - both are open-source projects on GitHub (AgentGuard: MIT, giskard-oss: Apache-2.0). ### Where can I find alternatives to AgentGuard or giskard-oss? GraphCanon lists graph-backed alternatives at [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) and [giskard-oss alternatives](/tools/giskard-ai-giskard-oss/alternatives) ([AgentGuard markdown twin](/tools/dipampaul17-agentguard/alternatives.md), [giskard-oss markdown twin](/tools/giskard-ai-giskard-oss/alternatives.md)), 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](/compare/dipampaul17-agentguard-vs-giskard-ai-giskard-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AgentGuard or giskard-oss? AgentGuard: Dormant. giskard-oss: Very active. 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 giskard-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [giskard-oss trust report](/tools/giskard-ai-giskard-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dipampaul17-agentguard`](/api/graphcanon/graph?tool=dipampaul17-agentguard) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_