Open-source orchestration for coding agents. Define your own workflows, reviewers and repair loops. zeroshot enforces the process you configure.
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Updated
Oct 21, 2026 - Rust
Loop Engineering is the practice of designing recurring systems for AI agents and coding agents. Instead of prompting an agent turn by turn, you build a loop that discovers work, delegates it to one or more agents, verifies the result against tests or other deterministic gates, persists state outside the model, decides what happens next, and runs again on a cadence, an event, or until a verifiable goal is reached. It sits above prompt, context, and harness engineering: those improve a single run, while loop engineering governs repeated agent work over time, including budgets, retries, escalation to humans, and stopping conditions.
Open-source orchestration for coding agents. Define your own workflows, reviewers and repair loops. zeroshot enforces the process you configure.
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 a company of AI agents on a server you own. Spin up named agents (claude, codex, pi…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human must decide. MIT.
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.
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.
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.
AI coding assistant built for real developer workflows.
Documentation control room for the era of AI agent loops
SIEGE: 200 people vs one agent. A typed action gate (TypeSafe System One) that learns from every breach, evaluated by W&B Weave, hardened by a defender loop. Built at CoreWeave Hacks: Agent Loops 2026.
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.
Reusable playbooks for autonomous AI agent loops — copy, customize, ship.
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.