redhat-community-ai-tools/UnifAI

MCPcommunity
redhat-community-ai-toolsApache-2.0Updated 21d agoGitHub

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.

A platform for building and running multi-agent AI workflows over your enterprise knowledge. UnifAI lets you connect internal data sources — Slack, Jira, documents — into a unified vector store, then query them through composable, visual multi-agent pipelines. Define agent graphs as YAML blueprints or build them with a drag-and-drop UI, execute locally or at scale, and stream results in real…

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21d agoLast update
Package
Authorredhat-community-ai-tools
LicenseApache-2.0
Sourcegithub
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Security scan✓ CleanvHEAD · 19d ago
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IndexedJun 13, 2026

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About

A platform for building and running multi-agent AI workflows over your enterprise knowledge. UnifAI lets you connect internal data sources — Slack, Jira, documents — into a unified vector store, then query them through composable, visual multi-agent pipelines. Define agent graphs as YAML blueprints or build them with a drag-and-drop UI, execute locally or at scale, and stream results in real time. Most teams have knowledge scattered across Slack threads, Jira tickets, PDFs, and internal wikis.…

Keywords
a2a-protocolagent-orchestrationai-agentsflaskkuberneteslanggraphllmmcpmulti-agent-systemsqdrantragreacttemporalvector-search