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2 dépôts

Awesome GitHub RepositoriesAI Agent Instance Lifecycle Management

Management of the deployment, scaling, and termination of individual AI agent instances on Kubernetes.

Distinct from Kubernetes Orchestration: Focuses on the agent-specific lifecycle within the cluster rather than general application deployment.

Explore 2 awesome GitHub repositories matching devops & infrastructure · AI Agent Instance Lifecycle Management. Refine with filters or upvote what's useful.

Awesome AI Agent Instance Lifecycle Management GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • botpress/botpressAvatar de botpress

    botpress/botpress

    14,748Voir sur GitHub↗

    Botpress is a conversational AI builder and LLM agent platform used to design chatbot workflows and orchestrate agents powered by large language models. It provides a framework for managing the entire lifecycle of these agents, from initial creation through to deployment across various production environments. The platform includes a custom integration SDK for developing and publishing third-party connectors that extend agent capabilities. These tools allow for the creation of custom plugins that connect AI agents to external APIs and third-party services. The system supports both visual des

    Provides programmatic tools and a CLI to control the creation, testing, and deployment of conversational agents.

    TypeScript
    Voir sur GitHub↗14,748
  • bytebot-ai/bytebotAvatar de bytebot-ai

    bytebot-ai/bytebot

    10,413Voir sur GitHub↗

    Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and execute mouse and keyboard actions on a virtual computer using natural language, allowing for autonomous desktop automation and the integration of legacy systems that lack native APIs. The system operates as an LLM API gateway and a Model Context Protocol server, routing requests across multiple language model providers with integrated load balancing and rate limiting. It provides isolated, containerized environments where agents use visual reasoning to interpret screenshots

    Provides a deployment framework using Helm charts to manage the lifecycle of isolated AI agent instances on a cluster.

    TypeScriptagentagentic-aiagents
    Voir sur GitHub↗10,413
  1. Home
  2. DevOps & Infrastructure
  3. Kubernetes Orchestration
  4. AI Agent Instance Lifecycle Management

Explorer les sous-tags

  • Lifecycle ToolingProgrammatic tools and command line interfaces for managing the creation and testing of AI agents. **Distinct from AI Agent Instance Lifecycle Management:** Focuses on the developer's management tools rather than the Kubernetes-specific instance orchestration.