agent-loops

Multi-agent graph orchestration engine for autonomous software development. Independent, adversarial review with mechanically enforced execution.

Design visual, review-gated agent loops for Claude Code before you run them.

File-based kanban board for autonomous agentic loop. CLI and TUI for multi-agent workflows. Skills included.

Run your own AI team from your phone. Claude Code, Codex and more on your own server: shared tasks, always-on agents, a small composable bash core. MIT. An open-source alternative to Grok Bot and OpenAI Dots.

OpenCode plugin: Ralph outer loop + RLM inner loop — iterative AI development with file-first discipline and sub-agent support

A free, open-source loop engineering curriculum: 14 steps, 20 loop kits, graded labs, and Loop Ready certification.

Personal AI agent — tell it what you want, it figures out how. Runs locally, plans autonomously, writes code, browses the web, and gets things done.

Loops, not prompts. A curated list of loop engineering patterns, tools and templates for AI coding agents.

An agent-native setup kit for turning a well-scoped repo into a supervised multi-agent coding loop, with Beacon loop planning. Stop prompting coding agents one task at a time. Give your repo a loop.

DeLoop: Repeated Actions as Self-Supervision for Long-Horizon Agents (project page; code coming soon)

Loop Architect — a verifier-first skill for designing safe AI agent loops, or refusing when a task shouldn't be looped. Works with Claude Code, Codex, and any skill-capable harness.

Bounded Loops & Graphs: 69 agent loops (65 keyless), 7 reference graphs, independent gates, declared bounds, verifiable receipts. Paper: arXiv:2609.27871

Multi-lane autoloop/autoresearch extension for Pi — run optimize, research, dev, and punchlist loops with isolated state, compound verifiers, and compaction-aware resume.

Documentation control room for the era of AI agent loops

A proposed general-purpose language and control substrate for agent orchestration. It is meant to coordinate agents, tools, people, services, permissions, sessions, and scarce resources in one inspectable model.

Open RDelta/Babel Index framework for LLM agents and world-systems: detect context degeneration, agent loops, tool fragility, and collapse with NEOTH.

AI coding assistant built for real developer workflows.

A prompt architect for Claude: any raw prompt in, an optimized prompt with the right agent loop, skills, and model out. Works in Claude Code, claude.ai, and Cowork.

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.

Reusable playbooks for autonomous AI agent loops — copy, customize, ship.