Key Features
Explore key features of Cloud Thinker
Multi-Agents Orchestration
Coordinate multiple AI agents working together to solve complex problems, enabling parallel processing and specialized task handling for enhanced efficiency and results.
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Advanced Memory
Persistent storage and retrieval system allowing AI agents to maintain context across sessions, learn from past interactions, and build cumulative knowledge over time.
GA
Resource Context Injection
Dynamically integrate external data, documents, and context into AI processing, enabling more informed and relevant responses based on your organization's specific information.
GA
Knowledge Base
Centralized repository for storing, organizing, and accessing organizational knowledge, ensuring AI agents can leverage crucial information when responding to queries.
GA
Advanced Search
Powerful semantic search capabilities that go beyond keywords to understand intent and context, allowing users to quickly locate relevant information from internet.
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Schedule Autonomous Task
Set up recurring or one-time AI processes to run automatically without human intervention, perfect for routine analysis, monitoring, and reporting functions.
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Builtin Connectors
Pre-configured integrations with popular platforms and services, allowing seamless data flow between Cloud Thinker and your existing technology stack.
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MCP (Model Context Protocol) Connectors
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools
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Slack Integration
Native connection to Slack workspaces, enabling AI assistants to participate in channels, respond to queries, and deliver insights directly within your team communication platform.
GA
Alert
Automated notification system that monitors AI activities and delivers timely updates on important events, anomalies, or completed tasks to relevant team members.
GA
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