redhat-community-ai-toolsredhat-community-ai-toolsOfficialยท6 Agent Skills Included

UnifAI

Multi-agent workflow orchestration over enterprise knowledge sources

Builds and runs multi-agent workflows that search Slack, Jira, and documents through one unified vector store. Defines agent graphs as YAML blueprints or via a drag-and-drop visual editor, then executes them locally or distributed with real-time streaming. Eliminates manual digging across scattered systems and gives developers domain-routed codebase knowledge, architecture rules, and step-by-step recipes for every service.
npx skills add redhat-community-ai-tools/UnifAI --all -g -y

All Skills in This Repository (6)

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Frequently Asked Questions

FAQPage Schema
How to install UnifAI?โ–ผ

Run `npx skills add redhat-community-ai-tools/UnifAI --all -g -y` in your terminal to install all skills in this suite globally.

What does UnifAI do?โ–ผ

UnifAI connects internal data sources like Slack, Jira, and documents into a unified vector store, then lets you query them through composable multi-agent workflows defined as YAML blueprints or built visually.

How do the UnifAI codebase skills help developers?โ–ผ

Each domain skill auto-loads when you edit files in its scope, giving your coding assistant architecture rules, component routing tables, endpoint maps, and recipes for tasks like adding new nodes, tools, or providers.

Can UnifAI run workflows locally and in production?โ–ผ

Yes. The same blueprint format runs locally on LangGraph for development or distributed on Temporal for production scaling, switched with a single environment variable.

Does UnifAI support external tool integrations?โ–ผ

Yes. Agents can connect to MCP servers and A2A-compatible remote agents, giving them access to external tools like Jira, GitHub, and databases from any blueprint node.

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