Cleric is an AI-powered Site Reliability Engineer (SRE) designed to autonomously manage, optimize, and heal software infrastructure. It operates as an AI teammate, capable of investigating and diagnosing production issues without human intervention. Cleric integrates with existing tools and systems, learning from each interaction to improve its performance. Its goal is to free engineers from the toil of production operations, allowing them to focus on development and innovation.

cleric

Autonomous AI SRE agent managing and optimizing software infrastructure.

Cleric

Cline is an open-source AI coding assistant integrated into Visual Studio Code, designed to automate various coding tasks. It features dual Plan/Act modes, allowing developers to strategize and execute coding actions efficiently. Cline can create and edit files, run terminal commands, and utilize the Model Context Protocol (MCP) to extend its capabilities. Operating directly within the IDE, it ensures a seamless coding experience, enhancing developer productivity by handling routine tasks and providing intelligent code assistance.

cline

An open-source AI coding assistant for VS Code, automating coding tasks with Plan/Act modes and terminal execution.

Cline

CodeGPT is a comprehensive AI-driven coding assistant designed to enhance developer productivity by integrating advanced AI capabilities directly into popular Integrated Development Environments (IDEs) such as Visual Studio Code and JetBrains. It offers features like code generation, autocompletion, code explanation, and unit test creation, all accessible within the coding environment. CodeGPT supports multiple programming languages and provides a customizable experience, allowing developers to tailor AI assistance to their specific workflow needs. With options for self-hosting, CodeGPT ensures data security and privacy, making it a versatile tool for both individual developers and organizations.

codegpt

An AI-powered coding assistant offering customizable solutions for code generation, completion, and explanation, integrated seamlessly within your development environment.

CodeGPT

DataRobot is an AI platform that provides a unified experience for building, deploying, and managing both predictive and generative AI solutions. It offers tools for automating machine learning processes, ensuring AI governance, and monitoring model performance. The platform supports integration with various data sources and deployment environments, enabling organizations to scale AI initiatives efficiently.

datarobot

An AI platform offering tools to build, deploy, and manage predictive and generative AI solutions.

DataRobot

AlphaFold is an AI system developed by DeepMind that predicts the 3D structures of proteins based on their amino acid sequences. By leveraging deep learning techniques, AlphaFold has achieved remarkable accuracy in protein structure prediction, significantly advancing the field of structural biology. This breakthrough has profound implications for understanding biological processes and accelerating drug discovery.

deepminds-alphafold

An AI system that predicts protein structures with high accuracy.

DeepMind's AlphaFold

Eidolon AI is an open-source platform designed to facilitate the development and deployment of AI agents within enterprise environments. It offers a pluggable Agent Software Development Kit (SDK) and a deployment server, allowing developers to create agent-based applications efficiently. The framework supports the integration of various Large Language Models (LLMs) and provides tools for building custom agent templates, managing agent-to-agent communication, and configuring built-in components. By leveraging Eidolon AI, organizations can streamline the creation of generative AI services, enhancing automation and operational efficiency.

eidolon-ai

An open-source framework enabling developers to rapidly build and deploy enterprise-grade AI agents as services.

Eidolon AI

kagent is an open-source framework designed for DevOps and platform engineers to deploy and manage AI agents within Kubernetes environments. It provides predefined tools for AI agents to interact with cloud-native projects like Kubernetes, Prometheus, Istio, Argo, and Helm. These autonomous agents are capable of planning, executing tasks, analyzing results, and continuously improving outcomes, thereby automating complex operations and troubleshooting tasks in cloud-native operations.

kagent

An open-source framework enabling AI agents to automate Kubernetes operations.

KushoAI is an AI-driven platform designed to automate API testing by generating exhaustive test suites from API specifications such as Postman collections, OpenAPI specs, or cURL commands. It integrates seamlessly with CI/CD pipelines, enabling continuous testing and ensuring that APIs function correctly as codebases evolve. KushoAI supports various programming languages and frameworks, providing developers with AI-generated test scripts that can be customized to meet specific project requirements. By automating the testing process, KushoAI helps teams achieve faster releases with fewer bugs, enhancing overall software quality.

kushoai

An AI agent that automates the creation of comprehensive API test suites, integrating seamlessly into CI/CD pipelines to enhance software quality.

KushoAI

NVIDIA Omniverse (OSMO) is a cutting-edge AI-powered platform designed to facilitate real-time collaboration and simulation in 3D environments. It enables professionals from diverse industries such as architecture, automotive, gaming, and film to work together seamlessly, leveraging advanced tools for design, visualization, and virtual prototyping. Omniverse integrates with popular 3D applications and supports a wide range of workflows, making it easier to create complex simulations, render high-fidelity graphics, and develop interactive experiences. The platform harnesses NVIDIA's expertise in AI and GPU technology to provide scalable solutions that enhance productivity and innovation in collaborative projects.

nvidia-omniverse-osmo

NVIDIA Omniverse (OSMO) is a collaborative AI-powered platform for 3D design, simulation, and real-time collaboration across various industries.

NVIDIA Omniverse (OSMO)

Restack is an open-source framework designed to assist engineers in creating, deploying, and scaling autonomous AI applications. It offers a comprehensive suite of tools, including the Restack AI Framework for coding multistep workflows with features like concurrency, scheduling, retries, and rate-limiting. Additionally, the Restack Desktop provides a developer environment with a user interface to visualize and debug workflows, enhancing the development process. By leveraging Restack, developers can build resilient AI products capable of running long-lived processes with persistent state, facilitating the creation of autonomous agents that self-improve over time based on feedback loops and long-term memory.

restack

An open-source framework empowering developers to build, launch, and scale autonomous AI products efficiently.

Restack

Seraphnet AI is a decentralized base layer designed for developing ideologically-transparent generative AI applications. It offers a multi-layered infrastructure that prioritizes unbiased outputs and data privacy through fully homomorphic encryption (FHE). The platform features components like the Swarm Manager, an intent-sensitive orchestrator for dynamic agent management; Multi-Agent Pods, modular agents utilizing advanced algorithms for collaborative task resolution; and the Forge SDK, enabling model deployment and training in a containerized environment. Seraphnet integrates both on-chain and off-chain data, ensuring accurate and transparent AI operations.

seraphnet-ai

A decentralized platform for ideologically-transparent generative AI applications with a focus on privacy and unbiased outputs.

Seraphnet AI

Snorkel Flow is an AI data development platform designed to expedite enterprise AI initiatives by enabling programmatic curation of training data. It allows data scientists and subject matter experts to collaboratively capture domain knowledge, apply it to label entire datasets, and iteratively develop models with built-in error analysis and evaluation tools. By integrating seamlessly with existing AI/ML stacks, Snorkel Flow supports fine-tuning of large language models (LLMs) for specialized tasks, optimizing retrieval-augmented generation (RAG) pipelines, and enhancing model accuracy across various data modalities.

snorkel-flow

An AI data development platform accelerating enterprise AI by programmatically curating training data.

AI Agents with Kubernetes Integration