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agentUniverse
by agentuniverse-ai
Python framework for composing and orchestrating multi-agent LLM applications
Python
Updated Feb 11, 2026
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Overview
Builds and orchestrates multi-agent applications with a Python SDK and runtime, enabling dynamic task routing.
Key Benefits
As agents delegate work to other agents, understanding how components interact and fail becomes essential for trust and evaluation. [agentUniverse] makes it easier to construct realistic multi-agent scenarios where you can observe delegation patterns and surface failure modes. That visibility is a necessary first step toward reputation, and agent-to-agent evaluation for pre-production testing.
Ideal For
Teams prototyping or deploying multi-agent workflows that need structured orchestration and clear agent responsibilities.
Real-World Examples
- Compose specialist agents to jointly solve complex tasks with controlled delegation
- Simulate multi-agent workflows to surface agent failure modes before production
- Prototype agent pipelines and routing policies for later integration with evaluation/monitoring
- Create reproducible scenarios for manual or automated agent-to-agent evaluation
Works With
openaihuggingfacelangchain
Topics
agentaiai-agentsautonomousawesomeawesome-listllmmulti-agentpython
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autogencrewailangchain
Keywords
multi-agent orchestrationagent delegationmulti-agent trustagent-evaluation