The Kore.ai Agent Platform

No-code + Pro-code Tools

Expand your AI workbench

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No-code workflow builder in Kore.ai Agent Platform showing sentiment analysis process flow with nodes, prompts, and model configuration.

Freedom to build with either pro-code or no-code tools

Leverage no-code tools to speed up development, while leveraging pro-code capabilities to extend functionality, integrate with complex systems, and tailor agentic systems to your requirements.

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Visual no-code, pro-code development

Empower employees to build AI agentic applications in a visual, drag-and-drop editor with specialized AI agents, LLM access, and pro-code script nodes for custom functions in JavaScript or Python.

Prebuilt templates + tools

Accelerate agentic app development with a library of over 75 pre-built process templates, use cases, and prompts so you don’t need to start from scratch.

Debugging, tracing, and lifecycle management

Monitor, troubleshoot, and manage AI agents across their entire development lifecycle with integrated debugging and end-to-end agent execution tracing.

Kore.ai Agent configuration screen for defining AI agent profile, goals, actions, and summary with task objectives and prompts.
AI agent use cases in Kore.ai platform including sentiment analysis, intent detection, question answering, summarization, synthetic data generation, and e-commerce automation.
Evaluation insights dashboard in Kore.ai Agent Platform showing dataset validation with candidate evaluation, helpfulness, toxicity, and content correctness metrics.

Model context protocol (MCP)

By supporting the open-standard MCP, the Kore.ai Agent Platform helps enterprises unlock deeper, real-time context for their AI agents, improving automation quality, reducing integration complexity, and delivering faster insights across tools and data sources.

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Kore.ai Agent Platform screen for connecting MCP server to create tools with description, request definition, and endpoint setup.
Faster integration

MCP allows Kore.ai agents to securely connect with systems like Google Drive, GitHub, Slack, or Postgres‍, enabling retrieval of up-to-date information without custom integrations.

Context-rich AI responses

With two-way connections between agents and data sources, users get AI outputs that are more relevant, precise, and aware of task-specific context.

Access to enterprise data

Leverage MCP’s architecture and SDKs to plug into existing AI agent building platforms, removing the need to build and maintain separate connectors to access data.

Improved agent collaboration

Share real-time context across agents and tools, MCP enhances orchestration, ensuring smoother handoffs, fewer redundancies, and smarter decision-making.

Agent SDK

Enable AI agent developers to write custom AI agent orchestration, tools, memory, and app extensions using their preferred programming languages like Python or JavaScript.

Modular AI agent components

Leverage SDKs for multi-agent orchestration, agents, memory, knowledge, and tools to tailor each layer of your agent architecture.

Multiple programming languages

Develop in Python, JavaScript, or your preferred language to align with your existing tech stack.

Standardized agent protocol

Utilize the Agent Protocol to enable real-time, multimodal communication between agents, tools, and external systems.

Pro-code SDK example in Kore.ai Agent Platform showing JavaScript code snippet to connect agents, access memory, and run tools.

Pro-code extensions

Comprehensive SDKs for AI agents, tools, agentic RAG, and traces with standardized interfaces and managed infrastructure, enabling developers to extend platform functionality, create custom integrations, and build specialized industry solutions.

Comprehensive SDKs

Build and customize AI agents with SDKs for multiple languages, standardized APIs, and hundreds of prebuilt integrations.

Kore.ai Agent Platform architecture showing end-user applications like chatbots, workflows, automation, and enterprise apps built on SDK components including APIs, library, and frameworks.

Managed infrastructure

Deploy and manage AI solutions on cloud-native infrastructure: secure hosting, automated updates, and lifecycle management for reliability.

Custom integrations

Connect to any system or data source with integration frameworks, enabling tailored workflows, API connections, and industry solutions.

Kore.ai AI Agents integration dashboard with connectors for ServiceNow, Zendesk, Confluence, SharePoint, Salesforce, Dropbox, Oracle Knowledge, and custom connectors.

Kore.ai Integration Studio

Enterprise Data Agents

Connect your enterprise systems with 100+ pre-built integrations in a few clicks with built-in triggers for automated workflows.

Advanced API Management

Support OAuth2, API key, and bearer authentication while chaining multiple API calls in a single call.

Visual Data Mapping Tools

Configure integration parameters to customize workflows and streamline data mapping.

Security & Performance

Optimize data protection, compliance, and processing efficiency for seamless integrations.

AI Insights

Evolution of generative AI engineering from models to agentic ecosystems

AI Insight
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The evolution from prompt engineering to contextual AI in AI systems

AI Insight
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MCP orchestration for scalable enterprise AI with Kore.ai

AI Insight
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Introducing MCP: a new standard for dynamic AI integration

AI Insight
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The future of enterprise AI: Why you need to start thinking about agent networks today

AI Insight
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KORE.ai AGENT PLATFORM

Platform capabilities

The Kore.ai Agent Platform gives technology leaders a secure, unified foundation to build, deploy, and manage AI agents at scale across any cloud or model. With built-in governance, observability, and hundreds of integrations, your team can accelerate enterprise AI adoption, maintain control, and deliver consistent business outcomes regardless of how complex your tech stack is​​​.

Agent Platform Overview

Design, deploy, and orchestrate AI agents at enterprise scale.

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Multi-Agent Orchestration

Enable intelligent multi-agent orchestration for seamless automation of complex workflows.

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AI Engineering Tools

Accelerate innovation by connecting multiple models, fine-tuning prompts, and evaluating AI agents.

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Search + Data AI

Retrieve accurate, real-time insights with agentic RAG, hybrid vector search, and customizable data pipelines.

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AI Security, Compliance,
and Governance

Enable comprehensive AI security, compliance, monitoring, debug capabilities, and performance analytics.

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No-code + Pro-code Tools

Build AI agents with visual drag-in-drop tools as well as easy-to-use pro-code inputs.

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Observability

Gain deep visibility into agent performance through agent tracing, real-time analytics, and monitoring events.

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