agentic-loop

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

Ethicore Engine® is an AI safety, ethics, and compliance platform. This repo consists of the open-source components of Ethicore Engine™ - Guardian SDK; designed to protect your AI applications from prompt injection, jailbreaks, role hijacking, system-prompt extraction, and 100+ additional threat categories through a multi-layer analysis pipeline

Local-first loop engineering for Codex and Claude Code users. Your repo works while you sleep

a cli agent tool written in Python + Typescript

AI-curated, self-updating directory of MCP servers. Discovered from GitHub & the official registry, analyzed and ranked by AI weekly.

AI-powered math solver agent with step-by-step reasoning, SymPy symbolic computation, and vision input. 155+ iterations, live at math.heliotrope.online

Reusable agentic loop (think/act/observe) template for Claude-powered agents

An observable local Agent loop with controlled tools, permission gates, trace viewing, and history replay.

Understanding the agentic ai structure

Agentic loop that tasks 3 llm's with agreeing on the best response to a user prompt

Token-safe autonomous dev-loop that drives Claude Code (claude -p) through an architect → developer → tester → reviewer → lead cycle to build software from a spec, isolated in a git worktree.

A local-first AI agent powered by Ollama that connects to a remote SpendWise MCP server. Features a custom Python agentic loop with schema-aware argument repair to fix LLM tool-calling hallucinations.

Multi-tiered loop-until-done task execution toolkit: CLI, Claude Code skill, MCP server (Python + TypeScript), and orchestrator client with circuit breaker.

The automation and the people advance in lockstep.

An Agentic Loop framework using CrewAI that automatically writes, executes, tests, and fixes Python code errors without human intervention.

A pytest-based API testing framework for the TMDB REST API, showcasing modern SDET: end-to-end integration tests, Pact contract validation, Dockerized parallel runs, Kubernetes-based local runs, GitHub Actions CI/CD, AI-powered test-failure diagnosis, and an LLM Judge evaluation framework that scores diagnosis quality. An MCP server for AI agents.

Simple autonomous claude code loop with ensemble quality control