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 lightweight starting point for an agentic coding harness — plus a step-by-step tutorial that walks through how it was built, line by line, with notes on what each piece does and why.

backlog: Your AI agent forgets between sessions. Backlog remembers.

The open standard and registry for agentic loops: installable, recurring AI agents. One file, any harness.

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

Run an autonomous company

Language-agnostic best practices for building reliable agentic loops. Pillar-by-pillar guide to goals, persistent state, verification gates, guardrails, and anti-patterns. Zero dependencies.

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

Understanding the agentic ai structure

Self-hosted AI agent gateway — give any local LLM (gemma:2b, llama3) tool calling, RAG, and a full agentic loop. 100% offline. OpenAI + Anthropic compatible.

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

An autonomous "think-act" loop. A thinker proposes goals; a worker implements them; a committer pushes the results and documents decisions. Repeat.

Example agentic loop (Daily Weather Brief) — published in a third-party repo to demo agenticloops.dev autodiscovery.

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

Agent loop tutorial: hand Antigravity 2.0's /goal one goal and a self-correcting agent loop plans, acts, verifies, and repairs until the build passes its tests.

Prompt and command sequencer for light CLI agent automation.

Simple autonomous claude code loop with ensemble quality control

Local-first AI engineering control plane — kanban, workflow engine, and multi-agent orchestration for autonomous software development loops