An example showing how A2A and MCP can be used together

ContextGem: Effortless LLM extraction from documents

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1…

When Philosophy meets AI

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Tool for generating high quality Synthetic datasets

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agen…

Open source multi-modal RAG for building AI apps over private knowledge.

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A high-speed tool for passively gathering URLs, optimized for efficient and comprehensive web asset discovery without active scanning.

Tools for merging pretrained large language models.

🤏🏻 `investpy` but made tiny

Pacote Python para acesso a dados abertos e APIs do governo brasileiro.

Financial Data Extraction from Investing.com with Python

Repositório de Fontes de Dados Financeiros

Linkedin Ghostwriting agent powered by Langgraph

Fast, Flexible and Portable Structured Generation

Aligning pretrained language models with instruction data generated by themselves.

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

No fortress, purely open ground. OpenManus is Coming.

Cost-efficient and pluggable Infrastructure components for GenAI inference

Examples of programs built using Modal