--- title: "ai-gateway vs guildai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-guildai-guildai" tools: ["ferro-labs-ai-gateway", "guildai-guildai"] --- # ai-gateway vs guildai *GraphCanon updated Aug 9, 2026* ## Verdict Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; pick guildai if guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and. [ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [guildai](https://guild.ai) has 904 stars, 93 forks, and 237 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [guildai's repository](https://github.com/guildai/guildai). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [guildai](/tools/guildai-guildai.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Experiment tracking, ML developer tools | | Stars | 219 | 904 | | Forks | 33 | 93 | | Open issues | 63 | 237 | | Language | Go | Python | | Adopt for | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | Guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | Apache-2.0 | | Categories | Inference & Serving, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [guildai](/tools/guildai-guildai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 460d | | Open issues (now) | 63 | 237 | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/guildai-guildai/trust.md) | ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## Decision facts: guildai - **Adopt for:** Guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization. ## Choose when ### Choose ai-gateway if… - ai-gateway is primarily Go; guildai is Python. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Inference & Serving. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose guildai if… - guildai is primarily Python; ai-gateway is Go. - Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search. - Also covers Developer Tools. - You require automation for running multiple experiment configurations to compare different models effectively. ## When NOT to use ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## When NOT to use guildai - If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities. - Your model development does not require intricate optimization methods or trial automation provided by this toolkit. - The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data. ## Common questions ### What is the difference between ai-gateway and guildai? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. guildai: Experiment tracking, ML developer tools. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over guildai? Choose ai-gateway over guildai when ai-gateway is primarily Go; guildai is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Inference & Serving; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose guildai over ai-gateway? Choose guildai over ai-gateway when guildai is primarily Python; ai-gateway is Go; Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search; Also covers Developer Tools; You require automation for running multiple experiment configurations to compare different models effectively. ### When should I avoid ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### When should I avoid guildai? If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities. Your model development does not require intricate optimization methods or trial automation provided by this toolkit. The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data. ### Is ai-gateway or guildai more popular on GitHub? guildai has more GitHub stars (904 vs 219). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and guildai open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, guildai: Apache-2.0). ### Where can I find alternatives to ai-gateway or guildai? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [guildai alternatives](/tools/guildai-guildai/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [guildai markdown twin](/tools/guildai-guildai/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/ferro-labs-ai-gateway-vs-guildai-guildai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or guildai? ai-gateway: Very active. guildai: 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 ai-gateway and guildai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [guildai trust report](/tools/guildai-guildai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-gateway) - 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/_