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56
README.md
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@ -152,8 +152,8 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
</tr>
<tr>
<td> <img src="https://github.com/ZGGSONG/STranslate/raw/main/img/favicon.svg" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://bobtranslate.com/">STranslate</a></td>
<td> <a href="https://bobtranslate.com/">STranslate</a>（Windows） is a ready-to-go translation ocr tool developed by WPF </td>
<td> <a href="https://stranslate.zggsong.com/en/">STranslate</a></td>
<td> <a href="https://stranslate.zggsong.com/en/">STranslate</a>（Windows） is a ready-to-go translation ocr tool developed by WPF </td>
</tr>
<tr>
<td> <img src="https://github.com/user-attachments/assets/5e16beb0-993e-47bf-807e-7c8804b313a2" alt="Asp Client" width="64" height="auto" /> </td>
@ -194,6 +194,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
### AI Agent frameworks
<table>
<tr>
<td><img src="https://yomo.run/yomo-logo.png" alt="Icon" width="64" height="auto" /></td>
<td><a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/yomo/README.md">YoMo</a></td>
<td>Stateful Serverless LLM Function Calling Framework with Strongly-typed Language Support</td>
</tr>
<tr>
<td> <img src="https://raw.githubusercontent.com/superagentxai/superagentX/refs/heads/master/docs/logo/icononly_transparent_nobuffer.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/superagentx/README.md">SuperAgentX</a> </td>
@ -204,7 +209,7 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/anda/README.md">Anda</a> </td>
<td>A Rust framework for AI agent development, designed to build a highly composable, autonomous, and perpetually memorizing network of AI agents.</td>
</tr>
<tr>
<tr>
<td> <img src="https://raw.githubusercontent.com/longevity-genie/chat-ui/11c6647c83f9d2de21180b552474ac5ffcf53980/static/geneticsgenie/icon-128x128.png" alt="Icon" width="64" height="auto"/> </td>
<td> <a href="https://github.com/longevity-genie/just-agents">Just-Agents</a> </td>
<td>A lightweight, straightforward library for LLM agents - no over-engineering, just simplicity!</td>
@ -213,6 +218,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/bob-robert-ai/bob/blob/main/alice/readme.md">Alice</a> </td>
<td>An autonomous AI agent on ICP, leveraging LLMs like DeepSeek for on-chain decision-making. Alice combines real-time data analysis with a playful personality to manage tokens, mine BOB, and govern ecosystems.</td>
</tr>
<tr>
<td> <img src="https://github.com/Upsonic/Upsonic/blob/9d2e6d43b44defc6744817330625661ca3a2184e/Upsonic%20pp.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/Upsonic/Upsonic">Upsonic</a> </td>
<td>Upsonic offers a cutting-edge enterprise-ready agent framework where you can orchestrate LLM calls, agents, and computer use to complete tasks cost-effectively.</td>
</tr>
</table>
### RAG frameworks
@ -225,6 +235,16 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
</tr>
</table>
### Solana frameworks
<table>
<tr>
<td> <img src="./docs/solana-agent-kit/assets/sendai-logo.png" alt="Icon" width="128" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> Solana Agent Kit </a> </td>
<td>An open-source toolkit for connecting AI agents to Solana protocols. Now, any agent, using any Deepseek LLM, can autonomously perform 60+ Solana actions: </td>
</tr>
</table>
### Synthetic data curation
@ -250,6 +270,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/RockChinQ/LangBot">LangBot<br/>（QQ, Lark, WeCom）</a> </td>
<td> LLM-based IM bots framework, supports QQ, Lark, WeCom, and more platforms.</td>
</tr>
<tr>
<td> <img src="https://nonebot.dev/logo.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/KomoriDev/nonebot-plugin-deepseek">NoneBot<br/>（QQ, Lark, Discord, TG, etc.）</a> </td>
<td> Based on NoneBot framework, provide intelligent chat and deep thinking functions, supports QQ, Lark, Discord, TG, and more platforms.</td>
</tr>
</table>
### Browser Extensions
@ -290,6 +315,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://www.ncurator.com/"> Ncurator </a> </td>
<td> Knowledge Base AI Q&A Assistant - Let AI help you organize and analyze knowledge</td>
</tr>
<tr>
<td> <img src="https://github.com/oinzen/RSSFlow-doc/blob/main/docs/images/en/icon64.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://rssflow.oinchain.com"> RssFlow </a> </td>
<td>An intelligent RSS reader browser extension with AI-powered RSS summarization and multi-dimensional feed views. Supports DeepSeek model configuration for enhanced content understanding. </td>
</tr>
</table>
### VS Code Extensions
@ -400,6 +430,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/djcopley/ShellOracle/"> ShellOracle </a> </td>
<td> A terminal utility for intelligent shell command generation. </td>
</tr>
<tr>
<td> <img src="https://avatars.githubusercontent.com/u/178783630?s=200&v=4" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/bolna-ai/bolna/"> Bolna </a> </td>
<td> Use DeepSeek as the LLM for conversational voice AI agents</td>
</tr>
<tr>
<td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/c1e47b01-1766-4f7e-bfe6-ab3cb3991c30" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/tree/main/docs/siri_deepseek_shortcut"> siri_deepseek_shortcut </a> </td>
@ -410,6 +445,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/rubickecho/n8n-deepseek"> n8n-nodes-deepseek </a> </td>
<td> An N8N community node that supports direct integration with the DeepSeek API into workflows. </td>
</tr>
<tr>
<td> <img src="https://framerusercontent.com/images/TSKshn2UFdTyvUi85EDMIXrXgs.png?scale-down-to=512" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/Portkey-AI/gateway"> Portkey AI </a> </td>
<td> Portkey is a unified API for interacting with over 1600+ LLM models, offering advanced tools for control, visibility, and security in your DeepSeek apps. Python & Node SDK available. </td>
</tr>
<tr>
<td> <img src="https://framerusercontent.com/images/8rF2JOaZ8l9AvM4H6ezliw44aI.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/BerriAI/litellm"> LiteLLM </a> </td>
@ -425,6 +465,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="docs/promptfoo/README.md"> promptfoo </a> </td>
<td> Test and evaluate LLM prompts, including DeepSeek models. Compare different LLM providers, catch regressions, and evaluate responses. </td>
</tr>
<tr>
<td> </td>
<td> <a href="https://github.com/AndersonBY/deepseek-tokenizer"> deepseek-tokenizer </a> </td>
<td> An efficient and lightweight tokenization library for DeepSeek models, relying solely on the `tokenizers` library without heavy dependencies like `transformers`. </td>
</tr>
<tr>
<td> <img src="https://langfuse.com/icon.svg" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://langfuse.com/docs/integrations/deepseek"> Langfuse </a> </td>
@ -440,4 +485,9 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://youtu.be/T1my2gqi-7Q"> GPTLocalost </a> </td>
<td> Use DeepSeek-R1 in Microsoft Word Locally. No inference costs. </td>
</tr>
<tr>
<td> <img src="https://github.com/suqicloud/wp-ai-chat/raw/main/ic_logo.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/suqicloud/wp-ai-chat"> WordPress ai助手 </a> </td>
<td> Docking Deepseek api for WordPress site ai conversation assistant, post generation, post summary plugin. </td>
</tr>
</table>

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@ -50,7 +50,7 @@
</tr>
<tr>
<td> <img src="https://raw.githubusercontent.com/rss-translator/RSS-Translator/main/core/static/favicon.ico" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="hhttps://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/rss_translator/README_cn.md"> RSS翻译器 </a> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/rss_translator/README_cn.md"> RSS翻译器 </a> </td>
<td> 开源、简洁、可自部署的RSS翻译器 </td>
</tr>
<tr>
@ -120,8 +120,8 @@
</tr>
<tr>
<td> <img src="https://github.com/ZGGSONG/STranslate/raw/main/img/favicon.svg" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://bobtranslate.com/">STranslate</a></td>
<td> <a href="https://bobtranslate.com/">STranslate</a>（Windows） 是 WPF 开发的一款即用即走的翻译、OCR工具 </td>
<td> <a href="https://stranslate.zggsong.com/">STranslate</a></td>
<td> <a href="https://stranslate.zggsong.com/">STranslate</a>（Windows） 是 WPF 开发的一款即用即走的翻译、OCR工具 </td>
</tr>
<tr>
<td> <img src="https://www.gptaiflow.tech/logo.png" alt="gpt-ai-flow-logo" width="64" height="auto" /> </td>
@ -157,6 +157,11 @@
<td>一个专为 AI 智能体开发设计的 Rust 语言框架，致力于构建高度可组合、自主运行且具备永久记忆能力的 AI 智能体网络。</td>
</tr>
<tr>
<td><img src="https://yomo.run/yomo-logo.png" alt="Icon" width="64" height="auto" /></td>
<td><a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/yomo/README.md">YoMo</a></td>
<td>Stateful Serverless LLM Function Calling Framework with Strongly-typed Language Support</td>
</tr>
<tr>
<td> <img src="https://alice.fun/alice-logo.png" alt="图标" width="64" height="auto" /> </td>
<td> <a href="https://github.com/bob-robert-ai/bob/blob/main/alice/readme.md">Alice</a> </td>
<td>一个基于 ICP 的自主 AI 代理，利用 DeepSeek 等大型语言模型进行链上决策。Alice 结合实时数据分析和独特的个性，管理代币、挖掘 BOB 并参与生态系统治理。</td>
@ -173,6 +178,16 @@
</tr>
</table>
### Solana 框架
<table>
<tr>
<td> <img src="./docs/solana-agent-kit/assets/sendai-logo.png" alt="Icon" width="128" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> Solana Agent Kit </a> </td>
<td>一个用于连接 AI 智能体到 Solana 协议的开源工具包。现在，任何使用 Deepseek LLM 的智能体都可以自主执行 60+ 种 Solana 操作：</td>
</tr>
</table>
### 即时通讯插件
<table>
@ -186,6 +201,11 @@
<td> <a href="https://github.com/RockChinQ/LangBot">LangBot<br/>（QQ, 企微, 飞书）</a> </td>
<td> 大模型原生即时通信机器人平台，适配 QQ / QQ频道 / 飞书 / OneBot / 企业微信（wecom） 等多种消息平台 </td>
</tr>
<tr>
<td> <img src="https://nonebot.dev/logo.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/KomoriDev/nonebot-plugin-deepseek"">NoneBot<br/>（QQ, 飞书, Discord, TG, etc.）</a> </td>
<td> 基于 NoneBot 框架，支持智能对话与深度思考功能。适配 QQ / 飞书 / Discord, TG 等多种消息平台 </td>
</tr>
</table>
### 浏览器插件
@ -226,6 +246,11 @@
<td> <a href="https://www.ncurator.com/"> 馆长 </a> </td>
<td> 知识库AI问答助手 - 让AI帮助你整理与分析知识</td>
</tr>
<tr>
<td> <img src="https://github.com/oinzen/RSSFlow-doc/blob/main/docs/images/en/icon64.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://rssflow.oinchain.com"> RssFlow </a> </td>
<td>一款智能的RSS阅读器浏览器扩展，具有AI驱动的RSS摘要和多维度订阅视图功能。支持配置DeepSeek模型以增强内容理解能力。</td>
</tr>
</table>
### VS Code 插件
@ -302,8 +327,17 @@
<td> 测试和评估LLM提示，包括DeepSeek模型。比较不同的LLM提供商，捕获回归，并评估响应。 </td>
</tr>
<tr>
<td> </td>
<td> <a href="https://github.com/AndersonBY/deepseek-tokenizer"> deepseek-tokenizer </a> </td>
<td> 一个高效的轻量级tokenization库，仅依赖`tokenizers`库，不依赖`transformers`等重量级依赖。 </td>
</tr>
<td> CR </td>
<td> <a href="https://github.com/hustcer/deepseek-review"> deepseek-review </a> </td>
<td> 🚀 使用 Deepseek 进行代码审核，支持 GitHub Action 和本地 🚀 </td>
</tr>
<tr>
<td> <img src="https://github.com/suqicloud/wp-ai-chat/raw/main/ic_logo.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/suqicloud/wp-ai-chat"> WordPress ai助手 </a> </td>
<td> 对接Deepseek api用于WordPress站点的ai对话助手、ai文章生成、ai文章总结插件。 </td>
</tr>
</table>

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@ -165,6 +165,16 @@ DeepSeek APIを人気のソフトウェアに統合します。APIキーを取
</tr>
</table>
### Solanaフレームワーク
<table>
<tr>
<td> <img src="./docs/solana-agent-kit/assets/sendai-logo.png" alt="Icon" width="128" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> Solana Agent Kit </a> </td>
<td>AIエージェントをSolanaプロトコルに接続するためのオープンソースツールキット。DeepSeek LLMを使用する任意のエージェントが、60以上のSolanaアクションを自律的に実行できます。</td>
</tr>
</table>
### IMアプリケーションプラグイン
<table>
@ -178,6 +188,11 @@ DeepSeek APIを人気のソフトウェアに統合します。APIキーを取
<td> <a href="https://github.com/RockChinQ/QChatGPT">QChatGPT<br/>（QQ）</a> </td>
<td> 高い安定性、プラグインサポート、リアルタイムネットワーキングを備えたQQチャットボット。 </td>
</tr>
<tr>
<td> <img src="https://nonebot.dev/logo.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/KomoriDev/nonebot-plugin-deepseek"">NoneBot<br/>（QQ, Lark, Discord, TG, etc.）</a> </td>
<td> NoneBotフレームワークを基に、インテリジェントな会話と深い思考機能をサポートします。QQ/飛書/Discord/Telegram等多种多様なメッセージプラットフォームに対応しています </td>
</tr>
</table>
### ブラウザ拡張機能
@ -213,6 +228,11 @@ DeepSeek APIを人気のソフトウェアに統合します。APIキーを取
<td> <a href="https://fluent.thinkstu.com/"> FluentRead </a> </td>
<td> 誰もが母国語のような読書体験を持つことができる革新的なオープンソースのブラウザ翻訳プラグイン </td>
</tr>
<tr>
<td> <img src="https://github.com/oinzen/RSSFlow-doc/blob/main/docs/images/en/icon64.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://rssflow.oinchain.com"> RssFlow </a> </td>
<td>AIを活用したRSS要約と多次元フィードビューを備えたインテリジェントなRSSリーダーブラウザ拡張機能。コンテンツ理解を強化するためのDeepSeekモデル設定をサポートしています。</td>
</tr>
</table>
### VS Code拡張機能

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@ -0,0 +1,67 @@
# README
<img src="assets/sendai-logo.png" width="64" height="auto" alt="logo">
---
An open-source toolkit for connecting AI agents to Solana protocols. Now, any agent, using any model can autonomously perform 60+ Solana actions:
‍
## STEP1.
Apply a token from [deepseek open platform](https://platform.deepseek.com/)
## STEP 2
Intialize the DeepSeek LLM
```
import { ChatDeepSeek } from "@langchain/deepseek";
const deepseek = new ChatDeepSeek({
model: "deepseek-chat",
temperature: 0,
});
```
‍
## STEP 3
Intialize the Solana Agent Kit with DeepSeek
```typescript
const solanaAgent = new SolanaAgentKit(
process.env.SOLANA_PRIVATE_KEY!,
process.env.RPC_URL!,
{
OPENAI_API_KEY: process.env.OPENAI_API_KEY!,
HELIUS_API_KEY: process.env.HELIUS_API_KEY!,
PERPLEXITY_API_KEY: process.env.PERPLEXITY_API_KEY!,
},
);
const tools = createSolanaTools(solanaAgent);
const agent = createReactAgent({
llm: deepseek,
tools,
checkpointSaver: memory,
messageModifier: `
You are a helpful agent that can interact onchain using the Solana Agent Kit. You are
empowered to interact onchain using your tools. If you ever need funds, you can request them from the
faucet. If not, you can provide your wallet details and request funds from the user. If there is a 5XX
(internal) HTTP error code, ask the user to try again later. If someone asks you to do something you
can't do with your currently available tools, you must say so, and encourage them to implement it
themselves using the Solana Agent Kit, recommend they go to https://www.solanaagentkit.xyz for more information. Be
concise and helpful with your responses. Refrain from restating your tools' descriptions unless it is explicitly requested.
`,
});
const stream = await agent.stream(
{ messages: [new HumanMessage(userInput)] },
config,
);
```
More guides can be found in the [Solana Agent Kit](https://docs.solanaagentkit.xyz/v0/introduction)
‍

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# YoMo Framework - Deepseek Provider
YoMo is an open-source LLM Function Calling Framework for building Geo-distributed AI agents. Built atop QUIC Transport Protocol and Strongly-typed Stateful Serverless architecture, makes your AI agents low-latency, reliable, secure, and easy.
## 🚀 Getting Started
Let's implement a function calling serverless `sfn-get-ip-latency`:
### Step 1. Install CLI
```bash
curl -fsSL https://get.yomo.run | sh
```
### Step 2. Start the server
Prepare the configuration as `my-agent.yaml`
```yaml
name: ai-zipper
host: 0.0.0.0
port: 9000
auth:
type: token
token: SECRET_TOKEN
bridge:
ai:
server:
addr: 0.0.0.0:9000 ## Restful API endpoint
provider: deepseek ## LLM API Service we will use
providers:
deepseek:
api_key: <DEEPSEEK_API_KEY>
model: deepseek-reasoner
```
Start the server:
```sh
YOMO_LOG_LEVEL=debug yomo serve -c my-agent.yaml
```
### Step 3. Write the function
First, let's define what this function do and how's the parameters required, these will be combined to prompt when invoking LLM.
```golang
type Parameter struct {
Domain string `json:"domain" jsonschema:"description=Domain of the website,example=example.com"`
}
func Description() string {
return `if user asks ip or network latency of a domain, you should return the result of the giving domain. try your best to dissect user expressions to infer the right domain names`
}
func InputSchema() any {
return &Parameter{}
}
```
Create a Stateful Serverless Function to get the IP and Latency of a domain:
```golang
func Handler(ctx serverless.Context) {
var msg Parameter
ctx.ReadLLMArguments(&msg)
// get ip of the domain
ips, _ := net.LookupIP(msg.Domain)
// get ip[0] ping latency
pinger, _ := ping.NewPinger(ips[0].String())
pinger.Count = 3
pinger.Run()
stats := pinger.Statistics()
val := fmt.Sprintf("domain %s has ip %s with average latency %s", msg.Domain, ips[0], stats.AvgRtt)
ctx.WriteLLMResult(val)
}
```
Finally, let's run it
```bash
$ yomo run app.go
time=2025-01-29T21:43:30.583+08:00 level=INFO msg="connected to zipper" component=StreamFunction sfn_id=B0ttNSEKLSgMjXidB11K1 sfn_name=fn-get-ip-from-domain zipper_addr=localhost:9000
time=2025-01-29T21:43:30.584+08:00 level=INFO msg="register ai function success" component=StreamFunction sfn_id=B0ttNSEKLSgMjXidB11K1 sfn_name=fn-get-ip-from-domain zipper_addr=localhost:9000 name=fn-get-ip-from-domain tag=16
```
### Done, let's have a try
```sh
$ curl -i http://127.0.0.1:9000/v1/chat/completions -H "Content-Type: application/json" -d '{
"messages": [
{
"role": "system",
"content": "You are a test assistant."
},
{
"role": "user",
"content": "Compare website speed between Nike and Puma"
}
],
"stream": false
}'
HTTP/1.1 200 OK
Content-Length: 944
Connection: keep-alive
Content-Type: application/json
Date: Wed, 29 Jan 2025 13:30:14 GMT
Keep-Alive: timeout=4
Proxy-Connection: keep-alive
{
"Content": "Based on the data provided for the domains nike.com and puma.com which include IP addresses and average latencies, we can infer the following about their website speeds:
- Nike.com has an IP address of 13.225.183.84 with an average latency of 65.568333 milliseconds.
- Puma.com has an IP address of 151.101.194.132 with an average latency of 54.563666 milliseconds.
Comparing these latencies, Puma.com is faster than Nike.com as it has a lower average latency.
Please be aware, however, that website speed can be influenced by many factors beyond latency, such as server processing time, content size, and delivery networks among others. To get a more comprehensive understanding of website speed, you would need to consider additional metrics and possibly conductreal-time speed tests.",
"FinishReason": "stop"
}
```
### Full Example Code
[Full LLM Function Calling Codes](https://github.com/yomorun/llm-function-calling-examples)
## 🎯 Focuses on Geo-distributed AI Inference Infra
It’s no secret that today’s users want instant AI inference, every AI
application is more powerful when it response quickly. But, currently, when we
talk about `distribution`, it represents **distribution in data center**. The AI model is
far away from their users from all over the world.
If an application can be deployed anywhere close to their end users, solve the
problem, this is **Geo-distributed System Architecture**:
<img width="580" alt="yomo geo-distributed system" src="https://user-images.githubusercontent.com/65603/162367572-5a0417fa-e2b2-4d35-8c92-2c95d461706d.png">