ollama/ollama
Ollama is a versatile platform that enables easy deployment, customization, and management of large language models locally across multiple operating systems with support for various model formats and a REST API.
Awesome AI Agents › AI Agent Deployment
nasa-jpl/rosa
ROSA (Robot Operating System Agent) is an AI-powered assistant designed to interact with robotics systems based on ROS1 and ROS2 using natural language queries. Developed by NASA's Jet Propulsion Laboratory, ROSA aims to simplify and enhance the way robot developers inspect, diagnose, understand, and operate robots by enabling intuitive communication through natural language. The project leverages the Langchain framework to facilitate this interaction, making robotics development more accessible and efficient. ROSA supports various ROS versions including ROS Noetic and ROS2 distributions like Humble, Iron, and Jazzy. It is designed to be adaptable to different robots and environments, allowing users to create custom agents by extending the base ROSA class or configuring new instances with custom parameters. This flexibility enables tailored solutions for diverse robotic applications. The project includes practical demos such as controlling the TurtleSim robot in simulation, showcasing ROSA's ability to reason and execute complex commands like drawing shapes. Additionally, ROSA is being extended to integrate directly with Nvidia IsaacSim, enabling control not only of robots within the simulation but also of the simulation environment itself. ROSA is easy to install via pip and requires Python 3.9 or higher. It provides comprehensive documentation, including a wiki with guides, FAQs, and configuration details for language models. The project is actively maintained with a clear roadmap, changelog, and contribution guidelines, reflecting a commitment to best practices and community engagement. Overall, ROSA represents a significant advancement in human-robot interaction by combining AI and natural language processing to streamline robotic system management and operation, making it a valuable tool for researchers and developers in the robotics field.
https://github.com/nasa-jpl/rosa
Also in AI Agent Deployment
alibaba/nacos
Nacos is a dynamic service discovery, configuration, and service management platform designed to simplify building and managing cloud-native applications and microservices.
e2b-dev/E2B
E2B is an open-source secure cloud runtime infrastructure that enables safe execution of AI-generated code in isolated sandboxes for AI applications and agents.
GoogleCloudPlatform/agent-starter-pack
A collection of production-ready Generative AI Agent templates for Google Cloud that accelerates development by addressing deployment, evaluation, customization, and observability challenges.
zebbern/claude-code-guide
Claude Code Guide is a comprehensive and authoritative resource providing detailed instructions, tips, and references for using the Claude Code CLI tool to interact with the Claude AI model, including advanced features and MCP integration.
boxlite-ai/boxlite
Rust engine giving AI agents hardware-isolated persistent micro-VMs that run any OCI image, embeddable as a daemonless library in Python, Node, Go, Rust or C, or run as a CLI, REST server or cloud control plane.
jim-schwoebel/awesome_ai_agents
A comprehensive and community-driven repository offering over 1,500 curated resources, tools, and projects related to AI agents for various applications and development needs.
Forethought-Technologies/AutoChain
AutoChain is a lightweight and extensible framework that simplifies building and automatically evaluating custom generative agents powered by large language models using custom tools and simulated multi-turn conversations.