Statistics for topic ai-agents
RepositoryStats tracks 518,988 Github repositories, of these 48 are tagged with the ai-agents topic. The most common primary language for repositories using this topic is Python (19).
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The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Robust AI driven development in your terminal. Designed for large, real-world tasks in new or existing codebases.
A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Robust AI driven development in your terminal. Designed for large, real-world tasks in new or existing codebases.
A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Introducing the Assistant Swarm. An extension to the OpenAI Node SDK to automatically delegate work to any assistant you create in OpenAi through one united interface and manager. Now you can delegate...
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Robust AI driven development in your terminal. Designed for large, real-world tasks in new or existing codebases.
Deterministic LLMs Outputs for AI Applications and AI Agents
A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.
Deterministic LLMs Outputs for AI Applications and AI Agents
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Robust AI driven development in your terminal. Designed for large, real-world tasks in new or existing codebases.
A code-first agent framework for seamlessly planning and executing data analytics tasks.
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Robust AI driven development in your terminal. Designed for large, real-world tasks in new or existing codebases.
A code-first agent framework for seamlessly planning and executing data analytics tasks.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Web UI for AutoGen (A Framework Multi-Agent LLM Applications)
A fast and lightweight framework for creating decentralized agents with ease.
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.