THE KORE.ai Agent Platform

Multi-agent Orchestration

Enable intelligent agentic operations.

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Kore.ai Multi-Agent Orchestration dashboard showing simulated payment flow with transaction agent retrieving payees, executing transfers, and verifying balance.

Multi-agent orchestration capabilities

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

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Contextual agent collaboration

Coordinate tasks across specialized AI agents to enable rule-based workflows, adaptable decision-making, and autonomous reasoning.

AI agent tools + memory

Ensure seamless AI agent tool use and persistent memory of business context with faster retrieval and more personalized user experiences.

Orchestrated to full agentic autonomy

Progress from orchestrated, human-in-the-loop automation to fully autonomous agentic workflows, balancing oversight and efficiency for every task.

Kore.ai Multi-Agent Orchestration create tool screen showing inline tool setup with request checkbook example, description, and parameter configuration.

Kore.ai Multi-Agent Orchestration configuration screen showing sync setup, environment variables, orchestrator pattern selection, and autonomous planner options

Agent memory

Agent memory empowers your AI agents to recall, maintain, and update essential business context, both within a single session and across multiple interactions, creating smarter, more personalized experiences.

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Kore.ai Multi-Agent Orchestration memory setup screen showing configuration steps for basic information, schema definition, data access, and retention to enable intelligent agent operations.

Session + persistent memory support

Enable short-term and long-term context retention with built-in session memory and customizable memory across interactions.

Schema-based memory structure

Ensure reliable data handling by defining memory schemas using JSON for consistent formatting and validation.

Flexible access + retention policies

Control memory availability and lifecycle with configurable scope (user, app, or session-level memory) and data expiration settings.

DialogGPT

DialogGPT enables AI agents to engage in dynamic, multi-turn conversations with predictable responses, intent recognition, and basic context awareness, delivering a more interactive and adaptive user experience.

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Hybrid intent detection + resolution

Leverage embeddings-based retrieval and AI models to detect user intent, then refine high-level intents into granular actions using domain-specific knowledge graphs.

Ambiguity resolution + multi-intent planning

Handle ambiguous intents by asking clarifying questions in real time, and recognize and manage multiple intents in a single query.

Conversational control + flexibility

Manage conversational flow events, generate contextually grounded responses, and choose from a variety of commercial, open-source, or fine-tuned AI models for maximum flexibility.

Kore.ai Multi-Agent Orchestration flow showing user input processed by DialogGPT with conversational context and integrations including OpenAI, Microsoft Azure, and other AI models.

Agent2Agent (A2A) protocol

Capability Discovery

Agents built on the Kore.ai Agent Platform leverage A2A’s Agent Cards to automatically surface their capabilities, making it easy for other agents to identify and invoke the right expertise for any specific task.

Task Management

By aligning with A2A’s task object structure, agents built on the Kore.ai Agent Platform can seamlessly coordinate task execution, from quick actions to long-running processes, with real-time status updates.

Agent Collaboration

The platform supports structured, bi-directional messaging between agents using A2A, enabling them to share context, exchange data, and synchronize responses across workflows.

Adaptive User Experience

With A2A’s message part negotiation, Kore.ai agents tailor content delivery, including images, video, and forms, to match user interface capabilities for richer, more responsive interactions.

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

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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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