agentuniverse-ai/agentUniverse

Health v2 · maintenance only

Adoption not part of the score

2343 stars · 423 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

agentUniverse is a Python-based multi-agent framework built on large language models, providing extensible components for building individual agents and multi-agent collaboration patterns like PEER and DOE. It originates from AntGroup's real-world financial business practices and focuses on integrating domain expertise into agent workflows.

Use cases

• build multi-agent applications with llms
• orchestrate agents that plan, execute, express and review tasks
• generate financial reports with data-intensive agent collaboration
• integrate domain expertise into ai agent workflows
• create industry analysis agents
• connect different llm vendors via simple configuration

When to choose

• you need structured multi-agent collaboration patterns rather than a single agent
• you want battle-tested patterns from real financial business scenarios
• you need to plug in various llm vendors with minimal configuration
• you want to embed domain expert knowledge into agent pipelines

When to avoid

• you need a lightweight single-agent chatbot without orchestration
• you prefer frameworks with larger ecosystems like langchain or autogen
• you need non-python environments
• you require fully autonomous agents without predefined collaboration patterns

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering chatbot artificial-intelligence large-language-models developer-tools python cross-platform multi-agent llm collaboration-patterns python-framework antgroup ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="agentuniverse-ai/agentUniverse")