langroid and OmAgent

Both tools are frameworks for building LLM-powered agents, making them competitors in the space of multi-agent programming and multimodal language agent development.

langroid
63
Established
OmAgent
46
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 3,927
Forks: 361
Downloads: —
Commits (30d): 8
Language: Python
License: MIT
Stars: 2,633
Forks: 286
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About langroid

langroid/langroid

Harness LLMs with Multi-Agent Programming

Langroid helps developers build sophisticated AI applications by orchestrating multiple AI agents to collaboratively solve problems. Developers define agents, equip them with large language models, data stores, and tools, then assign tasks for them to complete by exchanging messages. This framework is ideal for Python developers who need a flexible and intuitive way to create AI-powered solutions.

AI-application-development multi-agent-systems LLM-orchestration software-engineering AI-solutions-architecture

About OmAgent

om-ai-lab/OmAgent

[EMNLP-2024] Build multimodal language agents for fast prototype and production

This tool helps AI researchers and developers quickly build advanced AI assistants that can process and respond to various types of information, including text, images, videos, and audio. It allows you to define complex agent behaviors and workflows without getting bogged down in low-level technical details. The output is a functional multimodal AI agent, ready for testing or integration into applications.

AI-agent-development multimodal-AI natural-language-processing computer-vision AI-research

Scores updated daily from GitHub, PyPI, and npm data. How scores work