Showing 10 open source projects for "smart monitoring tools"

View related business solutions
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • Atera - an All-in-one platform for IT management Icon
    Atera - an All-in-one platform for IT management

    Ideal for IT departments and MSPs (managed service providers)

    Your IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
    Try Atera now
  • 1
    Phidata

    Phidata

    Build multi-modal Agents with memory, knowledge, tools and reasoning

    ...It includes features like real-time monitoring, agent evaluations, and performance optimization tools, ensuring the reliability and scalability of AI solutions. Phidata also allows developers to bring their own cloud infrastructure, offering flexibility for custom setups. The platform provides robust support for enterprises, including security features, agent guardrails, and automated DevOps for smoother deployment processes.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    CrewAI

    CrewAI

    Framework for orchestrating role-playing, autonomous AI agents

    Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 3
    TapeAgents

    TapeAgents

    A framework that facilitates all stages of LLM development

    TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    AgentScript

    AgentScript

    Build AI agents that think in code

    AgentScript is a TypeScript SDK for building reliable AI agents that express their plans as code, enabling stop/start workflows, tool-level state management, and enhanced observability.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 5
    E2B Infra

    E2B Infra

    Infrastructure for AI code interpreting that's powering E2B

    E2B Infra is an infrastructure management tool that simplifies the deployment and scaling of applications across cloud environments, focusing on automation and efficiency.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Sublayer

    Sublayer

    A model-agnostic Ruby Generative AI DSL and framework

    Sublayer is a platform that enables developers to build and deploy machine learning models with ease, focusing on simplifying the ML lifecycle from development to production.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Tiledesk Server

    Tiledesk Server

    Tiledesk Server is the main API component of the Tiledesk platform

    Tiledesk Server is the backend component of the Tiledesk platform, providing a comprehensive open-source live chat system with integrated chatbot capabilities for customer support and engagement.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    KaibanJS

    KaibanJS

    JS-native framework for building and managing multi-agent systems

    JavaScript-native framework for building multi-agent AI systems. Multi-agent AI systems promise to revolutionize how we build interactive and intelligent applications. However, most AI frameworks cater to Python, leaving JavaScript developers at a disadvantage. KaibanJS fills this void by providing a first-of-its-kind, JavaScript-native framework designed specifically for building and integrating AI Agents. Harness the power of specialization by configuring AI agents to excel in distinct,...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    SwarmZero

    SwarmZero

    SwarmZero's SDK for building AI agents, swarms of agents and much more

    SwarmZero is an open-source platform designed for deploying and managing autonomous robot swarms. It enables collective coordination, decentralized decision-making, and real-time collaboration among large groups of autonomous agents, focusing on multi-robot systems and research in swarm robotics.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Streamline Azure Security with Palo Alto Networks VM-Series Icon
    Streamline Azure Security with Palo Alto Networks VM-Series

    Centrally manage physical and virtualized firewalls with Panorama

    Improve your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
    Learn more
  • 10
    Koog

    Koog

    Koog is the official Kotlin framework for building AI agents

    ...It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next