- Seattle, WA, USA
- saxman.info
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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery π§βπ¬
A community driven registry service for Model Context Protocol (MCP) servers.
Modules, tools, examples, and exploration into developing highly personalized AI
A Python package containing easy to use tools for working with various language models and AI services.
High accuracy RAG for answering questions from scientific documents with citations
AI conversations that actually remember. Never re-explain your project to Claude again. Local-first, integrates with Obsidian. Join our Discord: https://discord.gg/tyvKNccgqN
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
Examples of chatbot implementations with Langchain and Streamlit
π The fast, Pythonic way to build MCP servers and clients
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google, Ollama).
Model Context Protocol Servers
This repository contains the Hugging Face Agents Course.
Create SIF files from definition files for COMPS
An ontology for MIDAS data types
Repository for accessing package artifacts via MCP
A framework for prompt tuning using Intent-based Prompt Calibration
π€ smolagents: a barebones library for agents that think in code.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
π€ LeRobot: Making AI for Robotics more accessible with end-to-end learning
Code from tutorials presented on the "Code AI with Rok" YouTube channel
Notes and tutorials on running large language and diffusion models efficiently on a local computer
Python code for configuring and running EMOD-HIV