Popular GitHub Repositories for Protocols

connect any ai agents to solana protocols

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

for connecting any AI agents to Solana protocols in Rust

Masked face recognition focuses on identifying people using their facial features while they are wearing masks. We introduce benchmarks on face verification based on masked face images for the development of COVID-safe protocols in airports.

Boost your teamwork with MCP and Agent Protocols

Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).

Multiplexer for AI protocols, agents, models, and tools

An open-source toolkit for connecting AI agents to Sui protocols

A Multi Agent Auction System developed in JADE

AIVM is a cutting-edge framework designed for privacy-preserving inference using advanced cryptographic protocols. With AIVM, you can deploy a local development network (devnet) to explore private inference using provided examples or custom models.

A physical chess-playing robot. Image recognition of chess board, AI, and mechanical arm control.

A space for comprehensive learning of agent-based software architectures. Progressive tutorials from reactive agents to AI-driven distributed systems. SPADE, Mesa, custom architectures with modern Python.

A comprehensive Claude Code sub-agent orchestration for Model Context Protocol (MCP) development excellence. This collection provides orchestrated specialist agents with deep expertise in MCP protocols, FastMCP implementation, security, performance optimization, and enterprise deployment patterns.

Secured Federated Learning XGBoost - This project provides the implementation of FL XGBoost in python, which allows the fast prototyping of scecured protocols.

This repository contains a collection of neural network models that we used to demonstrate the utility of our dataset.

Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.

Reinforcement Learning framework for learning IoT interactions.

Meshimi unlocks powerful mesh networking for your Flipper Zero combining Meshtastic, LoRaWAN and other protocols like Matter and Thread to give you rock‑solid connectivity across miles, even off‑grid.