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.
This demo showcases how the Arch can be used to build an HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. It intelligently routes incoming prompts to the correct targets, providing concise and useful responses tailored for HR and workforce decision-making.
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.
