langroid/langroid

Health v2 · maintenance only

Adoption not part of the score

4102 stars · 397 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Langroid is a Python framework for building LLM-powered applications using multi-agent programming, where agents encapsulate LLM conversations, vector stores, and tools and collaborate by exchanging messages. It is inspired by the Actor model, works with practically any LLM, and does not depend on LangChain.

Use cases

• build multi-agent LLM applications in python
• orchestrate llm agents that collaborate on tasks
• build a rag chatbot over my documents
• add function calling and tools to an llm app
• run agents with local llms like llama
• delegate tasks between multiple llm agents
• query a vector store with an llm agent

When to choose

• you want agents as first-class citizens with principled multi-agent orchestration
• you need a lightweight, LangChain-free LLM framework
• you want to mix OpenAI, local, and other LLMs in one app
• you need built-in vector-store and tool/function-calling support

When to avoid

• you only need a single LLM call with no agent structure
• you are already invested in LangChain or another ecosystem
• you need a no-code or non-Python solution

Facets

framework · maturity active

agent-framework rag llm-inference prompt-engineering chatbot large-language-models developer-tools python cross-platform multi-agent llm-framework actor-model function-calling vector-store openai ai-agents retrieval-augmented-generation natural-language-processing docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langroid/langroid")