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Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
AI agent stdlib that works with any LLM and TypeScript AI SDK.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
LLM based autonomous agent that does online comprehensive research on any given topic
Secure open source cloud runtime for AI apps & AI agents
🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your da…
HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and mo…
[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Generalist Software Agents to Solve Soware Engineering Tasks
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Drag & drop UI to build your customized LLM flow
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Integrate cutting-edge LLM technology quickly and easily into your apps
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.