--- title: "aisix vs LLM-Hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-timmyy123-llm-hub" tools: ["api7-aisix", "timmyy123-llm-hub"] --- # aisix vs LLM-Hub *GraphCanon updated Jul 15, 2026* ## Verdict Pick aisix when aisix is primarily Rust; LLM-Hub is C++; pick LLM-Hub when lLM-Hub is primarily C++; aisix is Rust. [aisix](https://api7.ai/ai-gateway) reports 64 GitHub stars, 9 forks, and 77 open issues, last pushed Jul 15, 2026. [LLM-Hub](https://llm-hub.app) has 491 stars, 103 forks, and 31 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [LLM-Hub's repository](https://github.com/timmyy123/LLM-Hub). | | [aisix](/tools/api7-aisix.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Tagline | Open-source AI gateway for LLMs & AI agents | Local AI Assistant on your phone | | Stars | 64 | 491 | | Forks | 9 | 103 | | Open issues | 77 | 31 | | Language | Rust | C++ | | Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | - | | Persona | - | - | | Runtime | - | - | | License | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | Other | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aisix](/tools/api7-aisix.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Open issues (now) | 77 | 31 | | Owner type | Organization | User | | Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/timmyy123-llm-hub/trust.md) | ## Decision facts: aisix - **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model. - **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files - **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers - **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution ## Choose when ### Choose aisix if… - aisix is primarily Rust; LLM-Hub is C++. - License: aisix is Apache-2.0, LLM-Hub is Other. - Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.. - Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files. - Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible. - aisix ships Docker support for self-hosted deployment. - When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock ### Choose LLM-Hub if… - LLM-Hub is primarily C++; aisix is Rust. - License: LLM-Hub is Other, aisix is Apache-2.0. - Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4. - Also covers LLM Frameworks. ## When NOT to use aisix - If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features - For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ## When NOT to use LLM-Hub - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between aisix and LLM-Hub? aisix: Open-source AI gateway for LLMs & AI agents. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisix over LLM-Hub? Choose aisix over LLM-Hub when aisix is primarily Rust; LLM-Hub is C++; License: aisix is Apache-2.0, LLM-Hub is Other; Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible; aisix ships Docker support for self-hosted deployment; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock. ### When should I choose LLM-Hub over aisix? Choose LLM-Hub over aisix when LLM-Hub is primarily C++; aisix is Rust; License: LLM-Hub is Other, aisix is Apache-2.0; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers LLM Frameworks. ### When should I avoid aisix? If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ### When should I avoid LLM-Hub? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is aisix or LLM-Hub more popular on GitHub? LLM-Hub has more GitHub stars (491 vs 64). Stars measure visibility, not whether either tool fits your constraints. ### Are aisix and LLM-Hub open source? Yes - both are open-source projects on GitHub (aisix: Apache-2.0, LLM-Hub: Other). ### Where can I find alternatives to aisix or LLM-Hub? GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [LLM-Hub alternatives](/tools/timmyy123-llm-hub/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [LLM-Hub markdown twin](/tools/timmyy123-llm-hub/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/api7-aisix-vs-timmyy123-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aisix or LLM-Hub? aisix: Very active. LLM-Hub: 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 aisix and LLM-Hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [LLM-Hub trust report](/tools/timmyy123-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=api7-aisix`](/api/graphcanon/graph?tool=api7-aisix) - 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/_