Langroid — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Langroid. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 6, 2026 • Sentiment updated: May 4, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Langroid agents now speak UI, as mentioned on X/Twitter by CopilotKit, and 'Langroid was born from CMU/UW-Madison research, and battle-tested in production' also from X/Twitter

Pros & Cons

What People Love

Reddit users praise Langroid's UI capabilities, X/Twitter users appreciate its battle-tested production capabilities, Dev.to users discuss its potential for smarter browser testing

Common Complaints

Security concerns, No significant complaints

Biggest Positive: Revolutionary UI

Biggest Negative: Security risks

Why Langroid Stands Out

Langroid is a lightweight and extensible framework for building LLM-powered applications, allowing developers to easily create collaborative AI agents.

Built With

Python, Langroid framework, Multi-Agent Programming

Getting Started

  1. Setup Agents
  2. Equip Agents with LLM and tools
  3. Assign tasks and collaborate

About

Harness LLMs with Multi-Agent Programming

Official site: https://langroid.github.io/langroid/

Category & Tags

Category: multi-agent

Tags: agents, ai, chatgpt, function-calling, gpt, gpt-4, gpt4, information-retrieval, language-model, llama, llm, llm-agent, llm-framework, local-llm, multi-agent-systems, openai-api, rag, retrieval-augmented-generation

Market Context

Competitive multi-agent framework market