Popular GitHub Repositories for Approval Gates

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Tego is a pluggable application framework., where developers can build complex application logic, while core developers focus on ensuring the stability of key modules and adapting to different environments.

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Autonomous agent substrate for Claude Code CLI. Research→Plan→Implement workflows with quality gates, TDD enforcement, and multi-agent coordination. 4.8-5.5x faster development. Built on Anthropic's engineering research.

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

A task management Model Context Protocol (MCP) server that helps AI assistants break down user requests into manageable tasks with subtasks, dependencies, and notes. Enforces a structured workflow with user approval steps.

Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning

This demo provides an automated loan application that streamlines document submission, verification, underwriting and approval processes.

Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code

Real-time audit and approval system for Claude Code tool calls.

Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.

Building Classification & Prediction model to classify the Loan applicant request as approved or rejected and then predict the Interest rate for Loan Approval.

Feature Selection Gates with Gradient Routing

Production multi-agent AI trading platform. AgentEdge architecture with validated 0.856 Sharpe ratio, 36.6% return. Automated trade lifecycle management after initial approval. MACD+RSI voting, interactive CLI, daily scheduler, Alpaca integration. Built on AutoGen. Educational only - not financial advice.