Loop Engineering Sources
This site uses official documentation as the highest-trust source for tool behavior. Open-source projects and community articles are used for examples, patterns, and experimental exports. Pricing presets are examples only and should be verified against current provider pricing.
AGENTS.md and SKILL.md generators are based on official provider documentation and generalized into vendor-neutral templates. Tool directory entries include official docs, open-source projects, and community resources. Experimental tools are labeled clearly.
Official & primary docs
Primary conceptual article framing loop engineering as designing systems that prompt, check, and iterate with agents.
addyosmani.com/blog/loop-engineering/Official Claude Code documentation for goal-based multi-turn work.
code.claude.com/docs/en/goalOfficial documentation for /loop and scheduled prompts.
code.claude.com/docs/en/scheduled-tasksOfficial Claude Code documentation for desktop scheduled tasks.
code.claude.com/docs/en/desktop-scheduled-tasksOfficial Codex guidance for durable objectives and validation loops.
developers.openai.com/codex/use-cases/follow-goalsOfficial Codex documentation for background recurring tasks and worktree isolation.
developers.openai.com/codex/app/automationsOfficial Codex documentation for durable project instructions.
developers.openai.com/codex/guides/agents-mdOfficial Codex documentation for reusable skills.
developers.openai.com/codex/skillsOfficial Codex documentation for subagent workflows.
developers.openai.com/codex/subagentsOfficial Anthropic article about hosted long-horizon agent infrastructure.
www.anthropic.com/engineering/managed-agentsOfficial Claude API docs for Managed Agents quickstart.
platform.claude.com/docs/en/managed-agents/quickstartOpen-source projects & experimental runtimes
Experimental runtime for loop engineering and RALPH.md-style exports.
github.com/computerlovetech/ralphifyOpen-source project for continuous coding loops and PR-based workflows.
github.com/AnandChowdhary/continuous-claudeOpen-source maker-checker review loop pattern.
github.com/hamelsmu/claude-review-loopCommunity project with practical loop engineering patterns and CLI concepts.
github.com/cobusgreyling/loop-engineeringProvider-neutral best practices for agent harnesses and safe workflows.
github.com/DenisSergeevitch/agents-best-practicesCurated list of AI coding agent orchestration tools.
github.com/andyrewlee/awesome-agent-orchestratorsCurated resources around agent harness engineering.
github.com/Picrew/awesome-agent-harnessDesktop app to run multiple Codex and Claude Code sessions in parallel git worktrees.
github.com/stravu/crystalA Kanban board for managing AI coding agents and their tasks.
github.com/BloopAI/vibe-kanbanOpen-source platform for running multiple coding agents in parallel.
github.com/manaflow-ai/cmuxMulti-agent orchestration CLI with config-driven workflows and git worktree isolation.
github.com/nutthouse/tuttiDesktop app for orchestrating multiple coding agents in isolated git worktrees with a diff viewer and one-click merge.
github.com/johannesjo/parallel-codeTurns issue-tracker tickets into autonomous coding agent sessions; a single Go binary with SQLite persistence.
github.com/sortie-ai/sortieOpen-source visual workspace for Codex and Claude Code with parallel sessions and one-click git worktrees (MIT).
nimbalyst.com/Memory & cost references
Useful framing for token-rich vs token-poor loops and memory strategies.
mem0.ai/blog/loop-engineering-for-ai-agents-memory-first-designCommunity article on loop engineering and web feedback loops.
www.firecrawl.dev/blog/loop-engineering