Overview
AgenticWorks Open Framework is a pre-configured framework for rapidly building, deploying, and operating AI agents. Optimized for the AWS Cloud infrastructure environment and running on a container basis, it is independent of various AI models and deployment environments, and is designed to easily connect to external services.
AgenticWorks Open Framework is designed to enable developers to quickly experiment with AI agents or apply them directly to projects, enabling them to more easily create and deploy a variety of AI agents, from simple RAG/LLM agent configurations to complex workflows.
Key features include:
- Modularization of Agent Development Tools
- Agent Components & Tools are provided in modular form.
- Develop agents by assembling modules like Lego blocks.
- Develop agents as a single module (sub-agent).
- Agent Orchestration
- Develop agents without coding using components and tools.
- Design workflows where multiple AIs collaborate, such as Super Agents and Agentic AI.
- Provides easy connection and scalability for both internal and external agent integration.
- External Integration Expansion Using MCP/API
- MCP Registry & Gateway provided
- External MCR Server registration and MCP Tools management
- Support for integration with legacy systems through API integration
- Fast environment setup
- Support for rapid environment setup through IaC
AgenticWorks Open Framework is built on AWS native architecture. It reliably deploys multiple AI Agents on Amazon EKS and the created AI Agents use various LLM call services provided by Amazon Bedrock to process user requests. Amazon ElastiCache caches model responses for speed and cost-efficiency, while Amazon S3 and Amazon RDS ensure data consistency and session continuity. Amazon OpenSearch provides scalable data analysis and high-accuracy search.
With these capabilities, AgenticWorks Open Framework provides a development environment and standards for rapidly building, deploying, and operating AI Agents.
Highlights
- 90%+ reduction in APQR and quality report preparation time – accelerate draft generation with data-driven automation
- Real-time quality monitoring and self-validation – ensure accuracy through automated data collection and validation
- AWS-native architecture – stable, scalable service built on Amazon EKS, Bedrock, and OpenSearch
Details
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