by sandeshnaroju · Agent Tool · ★ 52
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Agents Manager A lightweight Python package for managing multi-agent orchestration. Easily define agents with custom instructions, tools, and models, and orchestrate their interactions seamlessly. Perfect for building modular, collaborative AI systems. Features Define agents with specific roles and instructions Assign models to agents (e.g., OpenAI models) Equip agents with tools and containers for performing tasks Seamlessly orchestrate interactions between multiple agents Supported Models OpenAI Grok DeepSeek Anthropic Llama Genai Installation Install the package via pip: Quick Start python from agentsmanager.utils import handover from agentsmanager import Agent, AgentManager from agentsmanager.models import OpenAi, Anthropic, Genai from dotenv import loaddotenv loaddotenv() Define the OpenAi model openaiModel = OpenAi(name="gpt-4o-mini") #Define the Anthropic model anthropicModel = Anthropic( name="claude-3-5-sonnet-20241022", maxtokens= 1024, ) #Define the Genai model genaiMod
| Stars | 52 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.7249576225932/100 |
| Last Updated | 2025-08-26 |
| Created | 2025-02-23 |
| Platforms | python |
| Est. Tokens | ~6k |
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agents_manager is A lightweight Python package for managing multi-agent orchestration. Easily define agents with custom instructions, tools, containers, and models, and orchestrate their interactions seamlessly. Perfec. It is categorized as a Agent Tool with 52 GitHub stars.
agents_manager is primarily written in Python.
You can find installation instructions and usage details in the agents_manager GitHub repository at github.com/sandeshnaroju/agents_manager. The project has 52 stars and 10 forks, indicating an active community.
agents_manager is released under the MIT license, making it free to use and modify according to the license terms.