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.
