MattHalloran
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The official Typescript SDK for Model Context Protocol servers and clients
openzfsonwindows / openzfs
Forked from openzfs/zfsOpenZFS on Linux and FreeBSD
BPMN 2.0 execution engine. Open source javascript workflow engine.
Read and write BPMN 2.0 XML from JavaScript.
💅 Beautiful and accessible drag and drop for lists with React. ⭐️ Star to support our work!
A BPMN 2.0 rendering toolkit and web modeler.
🐻 Bear necessities for state management in React
Scan for React performance issues and eliminate slow renders in your app
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Personalized all-purpose AI assistance platform based on hierarchical cooperative multi-agent framework which utilizes websocket connectivity for LLM<->LLM communication
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A flexible distributed key-value datastore that is optimized for caching and other realtime workloads.
JS Client library for Mistral AI platform
Access to Anthropic's safety-first language model APIs
Custom GPT Showcase, featuring advanced workflows and operational logic.
Development repository for the CodeMirror editor project
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
The most popular React Emoji Picker
A natural language interface for computers
✨ A particle animation rendering tool optimized for performance. Inspired by canvas-nest.js
🎉React component for a nest backgroud. https://strawtc.cn/react-canvas-nest/
Optimize React performance and make your React 70% faster in minutes, not months.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Plugin for Adminer to allow autologin with environment variables
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)