by PathOnAIOrg · Agent Tool · ★ 102
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LiteMultiAgent In our exploration of building multi-agent systems, we have investigated AutoGen, CrewAI, LangGraph, and MetaGPT, but failed to find a multi-agent system that intuitively makes multi-agent systems more efficient. We have found that most examples provided by these frameworks could be accomplished with just one agent. We reimplemented the multi-agent examples using only one agent with a set of self-defined tools. However, we then realized that this system is not scalable when we have more and more tools. But if we can categorize the agents with different sets of tools into categories, then we are building a hierarchy of agents, where we could accomplish more types of tasks. At the same time, because of this design, the execution of sub-agents is naturally parallelized by parallel function calling, since agents use sub-agents as tools. Disclaimer: Please note that LiteMultiAgent is not affiliated with any for-profit company. This is a collaborative project from PathOnAI.org, an open-source AI research community, where Danqing Zhang (danqing.zhang.personal@gmail.com) is the main contributor.
| Stars | 102 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60.8426934421483/100 |
| Open Issues | 13 |
| Last Updated | 2025-07-18 |
| Created | 2024-06-28 |
| Platforms | browser, python |
| Est. Tokens | ~8045k |
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LiteMultiAgent is The Library for LLM-based multi-agent applications. It is categorized as a Agent Tool with 102 GitHub stars.
LiteMultiAgent is primarily written in Python. It covers topics such as agent, agent-based-framework, agentic-agi.
You can find installation instructions and usage details in the LiteMultiAgent GitHub repository at github.com/PathOnAIOrg/LiteMultiAgent. The project has 102 stars and 19 forks, indicating an active community.
The top alternatives to LiteMultiAgent on Agent Skills Hub include captain-claw, SecGPT, Agent-ChatRoom. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.