Home Projects esp-ai
esp-ai
C

esp-ai

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

by wangzongming · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
aiotarduinoarduino-llmMITC
View on GitHub
In plain words

Integrate AI capabilities into your development board easily and cost-effectively.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
esp-ai — GitHub preview card
📈 Star history
840839
2026-07-202026-08-31
📈 Track esp-ai

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

esp-ai has 839 stars on GitHub. It has been forked 109 times. esp-ai is written mainly in C. It has been in active development since 2024. esp-ai is available under the MIT license. Its main topics are aiot, arduino, arduino-llm, esp.

Frequently asked questions

What is esp-ai?

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

Is esp-ai open source?

esp-ai is an open-source project. It is released under the MIT license.

Is esp-ai free?

Yes. esp-ai is free and open source — you can use, modify and self-host it.

What license does esp-ai use?

esp-ai is available under the MIT license.

What language is esp-ai written in?

esp-ai is written mainly in C.

🏅 Maintainer of this project?
olud.ai badge — esp-ai

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=wangzongming-esp-ai)](https://olud.ai/project/wangzongming-esp-ai.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.