---
title: "aisix vs agents-towards-production"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-nirdiamant-agents-towards-production"
tools: ["api7-aisix", "nirdiamant-agents-towards-production"]
---

# aisix vs agents-towards-production

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick agents-towards-production if agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr.

[aisix](https://api7.ai/ai-gateway) reports 64 GitHub stars, 9 forks, and 77 open issues, last pushed Jul 15, 2026. [agents-towards-production](https://github.com/NirDiamant/agents-towards-production) has 21k stars, 2.8k forks, and 11 open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [agents-towards-production's repository](https://github.com/NirDiamant/agents-towards-production).

| | [aisix](/tools/api7-aisix.md) | [agents-towards-production](/tools/nirdiamant-agents-towards-production.md) |
| --- | --- | --- |
| Tagline | Open-source AI gateway for LLMs & AI agents | End-to-end, code-first tutorials for building production-grade GenAI agents |
| Stars | 64 | 20,953 |
| Forks | 9 | 2,789 |
| Open issues | 77 | 11 |
| Language | Rust | Jupyter Notebook |
| Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr |
| 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 |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [aisix](/tools/api7-aisix.md) | [agents-towards-production](/tools/nirdiamant-agents-towards-production.md) |
| --- | --- | --- |
| Days since push | 0d | 6d |
| Open issues (now) | 77 | 11 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/nirdiamant-agents-towards-production/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: agents-towards-production

- **Adopt for:** agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr

## Choose when

### Choose aisix if…

- aisix is primarily Rust; agents-towards-production is Jupyter Notebook.
- License: aisix is Apache-2.0, agents-towards-production 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, openai-compatible, self-hosted.
- Also covers Inference & Serving.
- 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 agents-towards-production if…

- agents-towards-production is primarily Jupyter Notebook; aisix is Rust.
- License: agents-towards-production is Other, aisix is Apache-2.0.
- Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai.
- * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.

## 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 agents-towards-production

- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures.
- * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation.
- * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may,
- other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.

## Common questions

### What is the difference between aisix and agents-towards-production?

aisix: Open-source AI gateway for LLMs & AI agents. agents-towards-production: End-to-end, code-first tutorials for building production-grade GenAI agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose aisix over agents-towards-production?

Choose aisix over agents-towards-production when aisix is primarily Rust; agents-towards-production is Jupyter Notebook; License: aisix is Apache-2.0, agents-towards-production 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, openai-compatible, self-hosted; Also covers Inference & Serving; 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 agents-towards-production over aisix?

Choose agents-towards-production over aisix when agents-towards-production is primarily Jupyter Notebook; aisix is Rust; License: agents-towards-production is Other, aisix is Apache-2.0; Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai; * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.

### 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 agents-towards-production?

* If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.

### Is aisix or agents-towards-production more popular on GitHub?

agents-towards-production has more GitHub stars (20,953 vs 64). Stars measure visibility, not whether either tool fits your constraints.

### Are aisix and agents-towards-production open source?

Yes - both are open-source projects on GitHub (aisix: Apache-2.0, agents-towards-production: Other).

### Where can I find alternatives to aisix or agents-towards-production?

GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [agents-towards-production alternatives](/tools/nirdiamant-agents-towards-production/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [agents-towards-production markdown twin](/tools/nirdiamant-agents-towards-production/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-nirdiamant-agents-towards-production.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, aisix or agents-towards-production?

aisix: Very active. agents-towards-production: 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 agents-towards-production?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [agents-towards-production trust report](/tools/nirdiamant-agents-towards-production/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/_
