--- title: "aisix vs private-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-zylon-ai-private-gpt" tools: ["api7-aisix", "zylon-ai-private-gpt"] --- # aisix vs private-gpt *GraphCanon updated Aug 9, 2026* ## Verdict Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,. [aisix](https://api7.ai/ai-gateway) reports 92 GitHub stars, 15 forks, and 98 open issues, last pushed Aug 8, 2026. [private-gpt](https://www.zylon.ai/private-gpt) has 57k stars, 7.6k forks, and 3 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [private-gpt's repository](https://github.com/zylon-ai/private-gpt). | | [aisix](/tools/api7-aisix.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Tagline | Open-source AI gateway for LLMs & AI agents | Complete API layer for private AI applications on local models | | Stars | 92 | 57,415 | | Forks | 15 | 7,607 | | Open issues | 98 | 3 | | Language | Rust | Python | | Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, | | 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 | Apache-2.0 | | Categories | AI Agents, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aisix](/tools/api7-aisix.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Open issues (now) | 98 | 3 | | Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/zylon-ai-private-gpt/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 ## Decision facts: private-gpt - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, ## Choose when ### Choose aisix if… - aisix is primarily Rust; private-gpt is Python. - 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. - Also covers AI Agents. - When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock ### Choose private-gpt if… - private-gpt is primarily Python; aisix is Rust. - Requirements: Min 8 GB RAM; Requires Docker. - Tags unique to private-gpt: ai, ai-tools, local-models, mcp. - - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ## 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 private-gpt - - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ## Common questions ### What is the difference between aisix and private-gpt? aisix: Open-source AI gateway for LLMs & AI agents. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisix over private-gpt? Choose aisix over private-gpt when aisix is primarily Rust; private-gpt is Python; 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; Also covers AI Agents; 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 private-gpt over aisix? Choose private-gpt over aisix when private-gpt is primarily Python; aisix is Rust; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: ai, ai-tools, local-models, mcp; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ### 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 private-gpt? - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ### Is aisix or private-gpt more popular on GitHub? private-gpt has more GitHub stars (57,415 vs 92). Stars measure visibility, not whether either tool fits your constraints. ### Are aisix and private-gpt open source? Yes - both are open-source projects on GitHub (aisix: Apache-2.0, private-gpt: Apache-2.0). ### Where can I find alternatives to aisix or private-gpt? GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [private-gpt alternatives](/tools/zylon-ai-private-gpt/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [private-gpt markdown twin](/tools/zylon-ai-private-gpt/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-zylon-ai-private-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aisix or private-gpt? aisix: Very active. private-gpt: 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 private-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [private-gpt trust report](/tools/zylon-ai-private-gpt/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/_