--- title: "ai-gateway vs awesome-local-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-rafska-awesome-local-llm" tools: ["ferro-labs-ai-gateway", "rafska-awesome-local-llm"] --- # ai-gateway vs awesome-local-llm *GraphCanon updated Sep 20, 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 awesome-local-llm if awesome-local-llm is a curated list of resources for the local operation of large language models. [ai-gateway](https://docs.ferrolabs.ai) reports 256 GitHub stars, 35 forks, and 68 open issues, last pushed Sep 10, 2026. [awesome-local-llm](https://github.com/rafska/awesome-local-llm) has 2.9k stars, 388 forks, and 169 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [awesome-local-llm's repository](https://github.com/rafska/awesome-local-llm). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [awesome-local-llm](/tools/rafska-awesome-local-llm.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Resources for running LLMs locally | | Stars | 256 | 2,869 | | Forks | 35 | 388 | | Open issues | 68 | 169 | | Language | Go | - | | 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. | awesome-local-llm is a curated list of resources for the local operation of large language models. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | MIT License | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [awesome-local-llm](/tools/rafska-awesome-local-llm.md) | | --- | --- | --- | | Days since push | 2d | 6d | | Open issues (now) | 68 | 169 | | Stars delta | +37 (30d) | +351 (30d) | | Open issues delta | +5 (30d) | +40 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/rafska-awesome-local-llm/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: awesome-local-llm - **Pricing:** freemium - The list itself is free and open-source under the MIT license. - **Requirements:** Technical skill in setting up a self-hosted large language model environment is necessary - **Adopt for:** awesome-local-llm is a curated list of resources for the local operation of large language models. - **License detail:** MIT License ## Choose when ### Choose ai-gateway if… - License: ai-gateway is Apache-2.0, awesome-local-llm is MIT. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose awesome-local-llm if… - License: awesome-local-llm is MIT, ai-gateway is Apache-2.0. - Pricing: The list itself is free and open-source under the MIT license.. - Requirements: Technical skill in setting up a self-hosted large language model environment is necessary. - Tags unique to awesome-local-llm: ai, awesome-list, llm, local-ai. - - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options ## 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 awesome-local-llm - - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links - - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources ## Common questions ### What is the difference between ai-gateway and awesome-local-llm? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. awesome-local-llm: Resources for running LLMs locally. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over awesome-local-llm? Choose ai-gateway over awesome-local-llm when License: ai-gateway is Apache-2.0, awesome-local-llm is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose awesome-local-llm over ai-gateway? Choose awesome-local-llm over ai-gateway when License: awesome-local-llm is MIT, ai-gateway is Apache-2.0; Pricing: The list itself is free and open-source under the MIT license.; Requirements: Technical skill in setting up a self-hosted large language model environment is necessary; Tags unique to awesome-local-llm: ai, awesome-list, llm, local-ai; - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options. ### 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 awesome-local-llm? - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources ### Is ai-gateway or awesome-local-llm more popular on GitHub? awesome-local-llm has more GitHub stars (2,869 vs 256). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and awesome-local-llm open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, awesome-local-llm: MIT). ### Where can I find alternatives to ai-gateway or awesome-local-llm? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [awesome-local-llm alternatives](/tools/rafska-awesome-local-llm/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [awesome-local-llm markdown twin](/tools/rafska-awesome-local-llm/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-rafska-awesome-local-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or awesome-local-llm? ai-gateway: Very active. awesome-local-llm: 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 ai-gateway and awesome-local-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [awesome-local-llm trust report](/tools/rafska-awesome-local-llm/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/_