agent-framework and agentUniverse
These are competitors offering overlapping solutions for multi-agent orchestration, though Microsoft's framework has significantly broader adoption (18x more stars) and vastly superior package distribution (405x more monthly downloads), making it the more established choice for production deployments.
About agent-framework
microsoft/agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Supports graph-based workflows with streaming, checkpointing, and human-in-the-loop capabilities for deterministic function composition. Built-in OpenTelemetry observability, middleware system for request/response processing, and a DevUI for interactive agent development and debugging. Works with multiple LLM providers and includes experimental labs for benchmarking and reinforcement learning research.
About agentUniverse
agentuniverse-ai/agentUniverse
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
Provides pre-built multi-agent collaboration patterns (PEER for iterative reasoning, DOE for data-intensive tasks) tested in real financial scenarios, enabling domain-expert-level agents without building orchestration from scratch. Supports 10+ LLM vendors via simple configuration—Qwen, DeepSeek, OpenAI, Claude, Gemini, and others—making it agnostic to model choice. Includes extensible components for tools, knowledge bases, and RAG integration alongside a visual workflow platform for agent application design.
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