Agent Framework / shim to use Pydantic with LLMs
#大语言模型# This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-...
The most reliable AI agent framework that supports MCP.
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Agently Workflow ...
#大语言模型#AI video agents framework for next-gen video interactions and workflows.
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
#大语言模型#Daydreams is a generative agent framework for executing anything onchain
#区块链#A framework for autonomous economic agent (AEA) development
#大语言模型#Python framework for building scalable multi-agent systems with built-in orchestration, LLM integration, and intelligent task processing. Features dynamic scaling, fault tolerance, and advanced load b...
#大语言模型#The Operating System for Agents
#Awesome#This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges".
#大语言模型#Minimal typescript agent framework that keeps it simple and gives you control - no BS
#区块链#A framework for the creation of autonomous agent services.
A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.
A secure and open protocol for decentralized agent-to-agent communication. Built for speed, scale, extensibility and the AI-native internet. 🐧🚀✨
#大语言模型#Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and TypeScript
definable.ai - A simpler way of interacting with Agents and Tools ⭐ 💖
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.