Loki Mode

This is an autonomous multi-agent orchestration system that takes a PRD and attempts to build, test, deploy, and operate a complete product without human intervention. It spawns 100+ specialized agents across engineering, QA, DevOps, and business functions, with parallel code review, automatic cloud deployment, and self-healing capabilities. The approach is aggressive: it requires the dangerously-skip-permissions flag and explicitly forbids asking questions or waiting for approval. Whether this represents the future of AI-driven development or a cautionary tale depends on your risk tolerance. If you want to experiment with fully autonomous agent swarms and don't mind potential chaos, this pushes further than most tools dare to go.

skills.sh installs: 284
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill loki-mode --agent claude-code

Installs into .claude/skills of the current project.

Files

Loki Mode - Multi-Agent Autonomous Startup System

Version 2.35.0 | PRD to Production | Zero Human Intervention Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)

Quick Reference

Critical First Steps (Every Turn)

READ .loki/CONTINUITY.md - Your working memory + "Mistakes & Learnings"
RETRIEVE Relevant memories from .loki/memory/ (episodic patterns, anti-patterns)
CHECK .loki/state/orchestrator.json - Current phase/metrics
REVIEW .loki/queue/pending.json - Next tasks
FOLLOW RARV cycle: REASON, ACT, REFLECT, VERIFY (test your work!)
OPTIMIZE Opus=planning, Sonnet=development, Haiku=unit tests/monitoring - 10+ Haiku agents in parallel
TRACK Efficiency metrics: tokens, time, agent count per task
CONSOLIDATE After task: Update episodic memory, extract patterns to semantic memory