https://github.com/simonweniger/agentkit-sdk

Build, deploy, and manage LLM-powered agents on  platforms.
https://github.com/simonweniger/agentkit-sdk

agent ai gpt-4 superagent swift swift-package-manager

Last synced: 7 days ago
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Build, deploy, and manage LLM-powered agents on  platforms.

• Host: GitHub
• URL: https://github.com/simonweniger/agentkit-sdk
• Owner: simonweniger
• License: apache-2.0
• Created: 2023-09-19T08:59:27.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-21T10:51:58.000Z (5 months ago)
• Last Synced: 2025-01-14T19:52:28.979Z (23 days ago)
• Topics: agent, ai, gpt-4, superagent, swift, swift-package-manager
• Language: Swift
• Homepage: https://superagent-swift.vercel.app/
• Size: 690 KB
• Stars: 29
• Watchers: 1
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: changelog.sh
  • License: LICENSE

Awesome Lists containing this project

• awesome_ai_agents - Agentkit-Sdk - Build, deploy, and manage LLM-powered agents on  platforms. (Building / Deployment)

README

        
# ``Agentkit - Manage, Build and deploy AI Agents``

[![SwiftUI](https://img.shields.io/badge/-SwiftUI-ff69b4)](https://developer.apple.com/documentation/swiftui)

[![iOS 16](https://img.shields.io/badge/-iOS%2016-blue)](https://developer.apple.com/ios/)





### Build, deploy, and manage LLM-powered agents on  platforms 

A community-made SwiftSDK for the Superagen LLM Framework. You need to have a Agentkit API Key in order to use the SDK.

To get your API key head over to [Agentkit.sh](https://Agentkit.sh) or fork the main repo and self-host it.

Learn more about Agentkit on the main repo: [Agentkit Repo](https://github.com/homanp/Agentkit)

![create-agent](https://github.com/simonweniger/Agentkit-swift/assets/43147663/83a8045d-6ab9-46a8-8ccb-e8a2de097a48)

Please submit any issues you encounter, join the Agentkit community, or reach out to [me](https://simonweniger.com) to talk about LLM applications on  platforms.

## 🥷 Agentkit Cloud

If you are looking for a plug-and-play way to get started be sure to checkout [Agentkit.io](https://agentkit.io).

## Documentation

You can find the full [documentation here](https://Agentkit-swift-docs.vercel.app/)

### Overview

**🧐 What is this?**

Agentkit is a powerful tool that simplifies the configuration and deployment of LLM (Large Language Model) Agents to production. It provides a range of features and functionalities to make it easier for developers to build, manage and deploy AI agents to production including features such as built in memory and document retrieval via vector dbs, powerful tools, webhooks, cron jobs etc.

## ✨ Use cases

Agentkit allows you to build any AI application/micro service you want, including:

- Question/Answering over Documents (LLM Finetuns/Vectorstores)

- Chatbots

- Co-pilots & AI assistants

- Content generation

- Data aggregation

- Workflow automation

## 👀 Features

- Memory

- Streaming

- Custom finetuning 🆕

- Python/Typescript SDKs

- REST API

- API connectivity

- Vectorization

- Support for proprietory and OSS LLMs

- API concurrency

[**Documentation**](https://Agentkit-swift-docs.vercel.app/)