AgentGenesis

AgentGenesis is a set of open-source components for developers building AI agents and RAG pipelines with less setup work. Instead of assembling infrastructure from scratch, you can reuse ready-made modules, copy them into your project, and focus on product logic.

Components for RAG and AI agents

The library includes modules for common agent and RAG tasks, such as:

• Building query and prompt chains
• Working with chat models
• Adding integrations for external services

These code snippets can speed up development of customer-facing assistants, internal company bots, or analytics agents that use corporate data.

LinkedIn Agent and ready-to-use blocks

A key component is the LinkedIn Agent, designed to process public profiles and generate short summaries of key fields. This can support use cases like:

• Recruiting tools
• Expert discovery systems
• Profile analysis workflows

Open source with IBM Watsonx integration

AgentGenesis is developed as an open-source project and is available on GitHub. Its official IBM Watsonx partner status highlights a focus on enterprise scenarios and compatibility with production AI stacks.