FlowDrop AI Context module provides integration between Context Control Center (CCC) module and FlowDrop, adding FlowDrop node processors for enabling structured and reusable AI context inside the FlowDrop workflow editor.
It acts as a bridge between workflow orchestration and contextual AI data management, making it easier to build advanced AI-driven Drupal applications.
Key Features
- Plug-and-Play AI Context
- Two Ways to Add Context
- Smart Auto-Selection
- Organised Knowledge Hierarchy
- Consistent, AI-Friendly Format
- Reusable Across Workflows
- Agent-Aware Behaviour
Drop a context node into any workflow to give your AI agents the background information they need.
Pin a specific piece of information when building the workflow, or let the system automatically pick the most relevant context at the moment the workflow runs.
The dynamic selector reads the incoming request and chooses the right context for the job, so your AI always gets the most useful information without manual setup.
Group related information together when a main topic is selected, all its supporting details come along automatically, keeping answers complete and consistent.
Every piece of context is delivered in a clean, structured format that AI models understand reliably, producing more predictable and accurate results.
Define your context once in a central library and reuse it everywhere. Update it in one place and every workflow stays in sync.
When connected to an AI agent, the node automatically follows that agent's context rules, ensuring a consistent experience whether context is added manually or selected
automatically.
Contributing
The FlowDrop AI Context (CCC) module's issue queue is intended for reporting bugs, submitting feature requests, and planning.
Additionally, you can join the #flowdrop channel on Drupal Slack.
Project information
- Project categories: Artificial Intelligence (AI)
- Ecosystem: FlowDrop, AI (Artificial Intelligence)
- Created by gxleano on , updated
Stable releases for this project are covered by the security advisory policy.
There are currently no supported stable releases.
Releases
Development version: 1.0.x-dev updated 13 May 2026 at 09:26 UTC
