Langroid

Langroid is a Python framework for building LLM-powered applications through a collaborative multi-agent programming paradigm.

Langroid is an intuitive, lightweight, and extensible Python framework designed to help developers easily build LLM-powered applications. It introduces a multi-agent programming paradigm inspired by the Actor Framework, where agents are equipped with optional components like LLMs, vector-stores, and tools to collaboratively solve problems by exchanging messages. It works with practically any LLM and does not rely on Langchain. The framework supports various inputs and integrations, including vector databases like Qdrant and Milvus, web scrapers, and multimodal inputs such as PDFs and images. It is built for developers and researchers seeking a flexible and fast way to bring AI applications into production.

Langroid at a glance

Best for: Software engineer
Runs on: Python, open source
Pricing: Free
Released: April 2023
Category: AI coding tool
Website: github.com/langroid/langroid

Key features

Build collaborative multi-agent systems
Integrate vector stores like Qdrant and Milvus
Use Model Context Protocol (MCP) servers
Extract structured information from documents
Perform document retrieval and question answering
Support multimodal inputs including PDF and images

Use it for

Building secure software development AI agents
Extracting structured information from documents
Implementing multi-agent RAG systems
Querying SQL databases with chat agents

Companions

Tools that articles about Langroid recommend using with it, each with its job.

Pinecone — Managed retrieval for the fastest path to production.
Qdrant — Self-hosted vectors when cost or data residency matter.
Ollama — Fully self-hosted inference paired with Qdrant.

Alternatives to Langroid

LangChain4j — Integrates LLMs and vector stores directly into Java applications.
Langflow — Builds and deploys AI agents visually with Python and major LLMs.
LangChain — Compose exactly the agent your use case needs from model, tools, prompt, and middleware.
AG-UI — Standardizes agent-user interactions and generative UI for applications.
LangGraph — Fine-grained control over long-running, stateful agent workflows
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
Alook — Connects existing local coding agents to team communication channels.
BeeAI Framework — Provides constraint enforcement for predictable agent behavior.
Atomic Agents — Build predictable, modular AI applications with consistent, reliable outputs.
Marvin — Provides simple interfaces, smart defaults, and structured data extraction.
Genkit — Provides unified APIs and local developer tools for AI application workflows.
Chainlit — It allows developers to build chat interfaces with minimal Python code.

All Langroid alternatives