repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
redhat-community-ai-tools/UnifAI
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.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 60%How we built an AI agent for field associates with Red Hat AI →
- PossiblePossibly related (embedding) · 62%Enterprise AI agents are only as reliable as the messiest documents behind them →
- PossiblePossibly related (embedding) · 50%AI-powered metadata correction and harmonization →
- PossiblePossibly related (embedding) · 57%Build agentic creative workflows with Amazon Quick and fal →
- PossiblePossibly related (embedding) · 63%Demystifying agentic AI: How to build production-ready AIOps with open source models →
- PossiblePossibly related (embedding) · 58%The growing momentum behind the Arm MCP Server shows how agentic AI is transforming developer workflows - Arm Newsroom →
- PossiblePossibly related (embedding) · 60%Multi-agent social intelligence with Strands Agents and Amazon Bedrock →
- PossiblePossibly related (embedding) · 57%Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick →
Covers (incoming)
newsHow we built an AI agent for field associates with Red Hat AInewsEnterprise AI agents are only as reliable as the messiest documents behind themnewsAI-powered metadata correction and harmonizationnewsBuild agentic creative workflows with Amazon Quick and falnewsDemystifying agentic AI: How to build production-ready AIOps with open source modelsnewsThe growing momentum behind the Arm MCP Server shows how agentic AI is transforming developer workflows - Arm NewsroomnewsMulti-agent social intelligence with Strands Agents and Amazon BedrocknewsEvolving from legacy BI to agentic AI at Tradeshift with Amazon QuicknewsEvaluating AI Agents: A production blueprint with Strands and AgentCorenewsBuilding trade assistant: How Jefferies optimized front office trading operations with AInewsPluggable by design: An agent mesh for software modernization that adopts the next model releasenewsPrime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations - MarkTechPost
Implements (incoming)
Related across the graph
newsEnterprise AI agents are only as reliable as the messiest documents behind themnewsPrime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations - MarkTechPostnewsDemystifying agentic AI: How to build production-ready AIOps with open source modelspaperWebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web SearchnewsEvolving from legacy BI to agentic AI at Tradeshift with Amazon QuicknewsBuild agentic creative workflows with Amazon Quick and falnewsPluggable by design: An agent mesh for software modernization that adopts the next model releasenewsAI-powered metadata correction and harmonizationnewsHow we built an AI agent for field associates with Red Hat AInewsBuilding trade assistant: How Jefferies optimized front office trading operations with AInewsMulti-agent social intelligence with Strands Agents and Amazon BedrocknewsThe growing momentum behind the Arm MCP Server shows how agentic AI is transforming developer workflows - Arm NewsroomnewsEvaluating AI Agents: A production blueprint with Strands and AgentCore