frozen-in-time version of our Paper Finder agent for reproducing evaluation results. This repo contains the code for the standalone Paper Finder agent. PaperFinder is our paper-seeking agent, which is intended to assist in locating sets of papers according to content-based and metadata criteria.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
A step-by-step guide to develop a custom code-to-diagram MCP server, explaining the fundamentals of Model Context Protocol and its components with a practical example.
An article detailing the capabilities and application of PydanticAI in building production-grade AI applications, particularly focusing on multi-agent systems.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). It provides a simple yet robust interface using llama-cpp-python, allowing users to chat with LLM models, execute structured function calls and get structured output.
