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Langroid
by Community
Harness LLMs with Multi-Agent Programming
L
OSS
Langroid
Added 1 June 2026
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#ai
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#gpt4
#information-retrieval
Overview
Langroid is a Python framework for building multi-agent systems using LLMs. It enables developers to design and coordinate multiple agents that collaborate or compete to solve tasks.
Best for
Best for
Developers building multi-agent LLM systems with Python
Use cases
- Building multi-agent LLM applications
- Orchestrating agents for complex workflows
- Developing cooperative AI systems
Notes
Langroid is a Python framework for building multi-agent systems using LLMs. It enables developers to design and coordinate multiple agents that collaborate or compete to solve tasks.
4,027 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Building multi-agent LLM applications
- Orchestrating agents for complex workflows
- Developing cooperative AI systems
Pros
- Lightweight and focused on multi-agent architectures
- Active open source community with frequent updates
- Extensible design for custom agent behaviors
Cons
- Requires understanding of agent programming concepts
- Not as mature as larger frameworks like LangChain
- Documentation may be limited for advanced use cases
Indexed from awesome-llm and enriched against its public facts.
Pros
- Lightweight and focused on multi-agent architectures
- Active open source community with frequent updates
- Extensible design for custom agent behaviors
Cons
- Requires understanding of agent programming concepts
- Not as mature as larger frameworks like LangChain
- Documentation may be limited for advanced use cases
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