vpp-agent
VPP management agent
An agent for managing control plane operations in VPP-based network functions
⚡️ Control plane management agent for FD.io's VPP
253 stars
26 watching
125 forks
Language: Go
last commit: over 1 year ago
Linked from 1 awesome list
cloud-nativecontrol-planemanagement-agentvnfvpp
Related projects:
Repository | Description | Stars |
---|---|---|
| An open source project that uses GPT-4 Vision to create an autonomous web agent with interactive capabilities. | 163 |
| Builds agents controlled by large language models (LLMs) to perform tasks with tool-based components | 940 |
| A server-side component of Puppet that automates the management of agents in a distributed architecture. | 296 |
| A collection of papers on the use of large language models in agent-based systems | 1,960 |
| An open-source multi-agent simulation framework using GPT-4 to explore AI-powered collaboration and task execution | 1,647 |
| An autonomous agent framework for controlling real-world applications via RESTful APIs using large language models | 1,328 |
| A small SDK for using WebAssembly compiled Open Policy Agent Rego policies in Node.js applications | 139 |
| A tool for easy interaction with Large Language Models (LLMs) to execute structured function calls and generate structured output. | 505 |
| An end-to-end platform for building and deploying large language model applications | 1,624 |
| Provides an interface to Rackspace Monitoring as a Service from Lua | 1 |
| Enables collaboration between AI agents to solve tasks and interact with each other | 1,171 |
| Enables access to private repositories by making an SSH key available with ssh-agent | 1,253 |
| A custom PPO agent for autonomous driving in CARLA. | 231 |
| A system for an AI agent to engage in natural dialog about visual content using a combination of encoder and decoder architectures. | 228 |
| A framework and benchmark for training and evaluating multi-modal large language models, enabling the development of AI agents capable of seamless interaction between humans and machines. | 305 |