by redhat-community-ai-tools · MCP Server · ★ 37
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.
| Stars | 37 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 31.7/100 |
| Open Issues | 24 |
| Last Updated | 2026-05-20 |
| Created | 2025-11-20 |
| Platforms | k8s, mcp, python |
| Est. Tokens | ~7387k |
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UnifAI is 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 Tempora. It is categorized as a MCP Server with 37 GitHub stars.
UnifAI is primarily written in Python. It covers topics such as a2a-protocol, agent-orchestration, ai-agents.
You can find installation instructions and usage details in the UnifAI GitHub repository at github.com/redhat-community-ai-tools/UnifAI. The project has 37 stars and 16 forks, indicating an active community.
UnifAI is released under the Apache-2.0 license, making it free to use and modify according to the license terms.