Langroid
Multi-Agent framework for building LLM Applications.
Langroid at a Glance
- Pricing
- Free
- On GitHub
- 4,122 stars · MIT licence · last updated Oct 2026
Website last checked 28 Oct 2026
Langroid Key Features
- Caching of LLM responses
- Document and table querying capabilities
- Function-calling and tool/plugin support
- Integration with vector-stores (LanceDB, Qdrant, Chroma)
- Multi-Agent Collaboration
- Observability and logging of interactions
- Structured output generation
- Support for various LLMs (OpenAI and others)
Langroid Use Cases
- Building LLM-powered applications
- Collaborative problem-solving with multiple agents
- Data analysis and querying using LLMs
- Information extraction from documents
- Integration with external databases and APIs
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