teilomillet/enzu-go

A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.

35
/ 100
Emerging

This framework helps AI solution architects and backend developers build sophisticated AI applications where multiple large language models (LLMs) need to work together on complex tasks. It takes a high-level description of an overall goal and orchestrates specialized LLM agents, assigning them roles, tools, and tasks. The output is a robust, collaborative AI system capable of handling complex workflows like research, analysis, or content generation.

No commits in the last 6 months.

Use this if you need to build an AI application that requires multiple LLMs to collaborate, execute tasks in parallel, and leverage specific tools to achieve a complex goal.

Not ideal if your AI application only requires a single LLM to perform straightforward, sequential tasks without needing complex coordination or tool integration.

AI-system-architecture multi-agent-orchestration LLM-collaboration AI-workflow-automation backend-AI-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

17

Forks

3

Language

Go

License

Apache-2.0

Last pushed

Nov 21, 2024

Commits (30d)

0

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