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AGENTUNIVERSE

Build production-ready multi-agent systems with domain-driven design

Apache-2.0

ABOUT

Building multi-agent systems that work reliably in production requires more than just orchestrating LLM calls — you need agent patterns (reflection, tool use, planning, multi-agent debate), service integration, knowledge management, and observability. Most agent frameworks are too low-level, forcing teams to reinvent patterns for every project. agentUniverse provides a domain-driven multi-agent framework with reusable agent patterns, service-oriented tool integration, knowledge base management, and built-in monitoring. It treats agents as domain objects, making complex multi-agent architectures manageable and production-ready.

INSTALL
pip install agentUniverse

INTEGRATION GUIDE

1. Build a multi-agent research system where specialized agents gather, analyze, and synthesize information from multiple sources 2. Create a customer service platform with agents that triage queries, retrieve knowledge, and escalate to human agents 3. Deploy a code review assistant with agents specializing in security, performance, and best practices 4. Implement a financial analysis pipeline where agents collect market data, run models, and generate reports 5. Orchestrate a content production workflow with agents for research, drafting, editing, and publishing

TAGS

agentsmulti-agentframeworkpythonllmdomain-driven-designopen-source
agentUniverse — AI Tool | Agentic AI For Good