PluginsAI AI AgentTasks that run AI agents combining system prompts, user input, tools, content retrievers, and optional memory to produce grounded responses.ToolTasks that expose tools agents can call: Kestra flow/task runners, code execution, MCP clients, and web search to extend LLM reasoning with actions and real-time data.EmbeddingsTasks that provision embeddings stores (Chroma, PGVector, Pinecone, Redis, Qdrant, etc.) for chunk storage and similarity search powering RAG flows.ProviderTasks that configure Large Language Model providers (OpenAI, Gemini, Anthropic, Mistral, Bedrock, etc.) to supply chat/completion models used across the AI plugins.RAGTasks that ingest, chunk, and embed documents, search vectors, and run retrieval-augmented chat so LLM answers stay grounded in indexed content.MemoryTasks that supply conversational memory backends (Kestra KV Store, Redis, PostgreSQL) to persist recent messages for agents and chat completions.RetrieverTasks that pull external context for Retrieval Augmented Generation: web search via Google or Tavily, or SQL database retrieval feeding results into AI prompts.CompletionTasks that call LLMs for chat, classification, image generation, and JSON-structured extraction, with optional tools, memory, and provider flexibility. Create automations with AI PluginsSummarize Text with an AI Agent, Generate Multilingual Summaries in Short, Medium, or Long FormatTrigger the Right Automation with an AI Agent Based on User IntentKubernetes AI-powered incident monitoring, analysis, and alerting More Plugins in this CategoryRun DeepSeek chat and JSON completionsTasks that call DeepSeek chat models for conversational or schema-guided JSON responses.AIPerplexityTasks that request chat completions from Perplexity models.AIGoogle CloudExecute tasks and orchestrate workflows across Google Cloud Platform services. Centralize authentication and resource management for seamless GCP integration.CloudDataInfrastructureAI