Loki Mode

The First Truly Autonomous Multi-Agent Startup System

PRD → Deployed Product in Zero Human Intervention

Loki Mode transforms a Product Requirements Document into a fully built, tested, deployed, and revenue-generating product while you sleep. No manual steps. No intervention. Just results.

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Demo

Click to watch Loki Mode build a complete Todo App from PRD - zero human intervention

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Benchmark Results

Three-Way Comparison (HumanEval)

Loki Mode beats MetaGPT by +11-13% thanks to the RARV (Reason-Act-Reflect-Verify) cycle.

Full Results

Key Finding: Multi-agent RARV matches single-agent performance on both benchmarks after timeout optimization. The 4-agent pipeline (Architect->Engineer->QA->Reviewer) achieves the same 99.67% patch generation as direct Claude.

See benchmarks/results/ for full methodology and solutions.

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What is Loki Mode?

Loki Mode is a Claude Code skill that orchestrates 37 specialized AI agent types across 6 swarms to autonomously build, test, deploy, and scale complete startups. It dynamically spawns only the agents you need—5-10 for simple projects, 100+ for complex startups—working in parallel with continuous self-verification.

PRD → Research → Architecture → Development → Testing → Deployment → Marketing → Revenue

Just say "Loki Mode" and point to a PRD. Walk away. Come back to a deployed product.

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Why Loki Mode?

Better Than Anything Out There

Core Advantages

1. Truly Autonomous: RARV (Reason-Act-Reflect-Verify) cycle with self-verification achieves 2-3x quality improvement
2. Massively Parallel: 100+ agents working simultaneously, not sequential single-agent bottlenecks
3. Production-Ready: Not just code—handles deployment, monitoring, incident response, and business operations
4. Self-Improving: Learns from mistakes, updates continuity logs, prevents repeated errors
5. Zero Babysitting: Auto-resumes on rate limits, recovers from failures, runs until completion
6. Efficiency Optimized: ToolOrchestra-inspired metrics track cost per task, reward signals drive continuous improvement

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Dashboard & Real-Time Monitoring

Monitor your autonomous startup being built in real-time through the Loki Mode dashboard:

Agent Monitoring

<img width="1200" alt="Loki Mode Dashboard - Active Agents" src="docs/screenshots/dashboard-agents.png" />

Track all active agents in real-time:

• Agent ID and Type (frontend, backend, QA, DevOps, etc.)
• Model Badge (Sonnet, Haiku, Opus) with color coding
• Current Work being performed
• Runtime and Tasks Completed
• Status (active, completed)

Task Queue Visualization

<img width="1200" alt="Loki Mode Dashboard - Task Queue" src="docs/screenshots/dashboard-tasks.png" />

Four-column kanban view:

• Pending: Queued tasks waiting for agents
• In Progress: Currently being worked on
• Completed: Successfully finished (shows last 10)
• Failed: Tasks requiring attention

Live Status Monitor

# Watch status updates in terminal
watch -n 2 cat .loki/STATUS.txt

╔════════════════════════════════════════════════════════════════╗
║                    LOKI MODE STATUS                            ║
╚════════════════════════════════════════════════════════════════╝

Phase: DEVELOPMENT

Active Agents: 47
  ├─ Engineering: 18
  ├─ Operations: 12
  ├─ QA: 8
  └─ Business: 9

Tasks:
  ├─ Pending:     10
  ├─ In Progress: 47
  ├─ Completed:   203
  └─ Failed:      0

Last Updated: 2026-01-04 20:45:32

Access the dashboard:

# Automatically opens when running autonomously
./autonomy/run.sh ./docs/requirements.md

# Or open manually
open .loki/dashboard/index.html

Auto-refreshes every 3 seconds. Works with any modern browser.

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Autonomous Capabilities

RARV Cycle: Reason-Act-Reflect-Verify

Loki Mode doesn't just write code—it thinks, acts, learns, and verifies:

1. REASON
   └─ Read .loki/CONTINUITY.md including "Mistakes & Learnings"
   └─ Check .loki/state/ and .loki/queue/
   └─ Identify next task or improvement

2. ACT
   └─ Execute task, write code
   └─ Commit changes atomically (git checkpoint)

3. REFLECT
   └─ Update .loki/CONTINUITY.md with progress
   └─ Update state files
   └─ Identify NEXT improvement

4. VERIFY
   └─ Run automated tests (unit, integration, E2E)
   └─ Check compilation/build
   └─ Verify against spec

   IF VERIFICATION FAILS:
   ├─ Capture error details (stack trace, logs)
   ├─ Analyze root cause
   ├─ UPDATE "Mistakes & Learnings" in CONTINUITY.md
   ├─ Rollback to last good git checkpoint if needed
   └─ Apply learning and RETRY from REASON

Result: 2-3x quality improvement through continuous self-verification.

Perpetual Improvement Mode

There is NEVER a "finished" state. After completing the PRD, Loki Mode:

• Runs performance optimizations
• Adds missing test coverage
• Improves documentation
• Refactors code smells
• Updates dependencies
• Enhances user experience
• Implements A/B test learnings

It keeps going until you stop it.

Auto-Resume & Self-Healing

Rate limits? Exponential backoff and automatic resume. Errors? Circuit breakers, dead letter queues, retry logic. Interruptions? State checkpoints every 5 seconds—just restart.

# Start autonomous mode
./autonomy/run.sh ./docs/requirements.md

# Hit rate limit? Script automatically:
# ├─ Saves state checkpoint
# ├─ Waits with exponential backoff (60s → 120s → 240s...)
# ├─ Resumes from exact point
# └─ Continues until completion or max retries (default: 50)

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Quick Start

1. Install

# Clone to your Claude Code skills directory
git clone https://github.com/asklokesh/loki-mode.git ~/.claude/skills/loki-mode

See INSTALLATION.md for other installation methods (Web, API Console, minimal curl install).

2. Create a PRD

# Product: AI-Powered Todo App

## Overview
Build a todo app with AI-powered task suggestions and deadline predictions.

## Features
- User authentication (email/password)
- Create, read, update, delete todos
- AI suggests next tasks based on patterns
- Smart deadline predictions
- Mobile-responsive design

## Tech Stack
- Next.js 14 with TypeScript
- PostgreSQL database
- OpenAI API for suggestions
- Deploy to Vercel

Save as my-prd.md.

3. Run Loki Mode

# Autonomous mode (recommended)
./autonomy/run.sh ./my-prd.md

# Or manual mode
claude --dangerously-skip-permissions
> Loki Mode with PRD at ./my-prd.md

4. Monitor Progress

Open the dashboard in your browser (auto-opens) or check status:

watch -n 2 cat .loki/STATUS.txt

5. Walk Away

Seriously. Go get coffee. It'll be deployed when you get back.

That's it. No configuration. No manual steps. No intervention.

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Agent Swarms (37 Types)

Loki Mode has 37 predefined agent types organized into 6 specialized swarms. The orchestrator spawns only what you need—simple projects use 5-10 agents, complex startups spawn 100+.

<img width="5309" height="979" alt="Agent Swarms Visualization" src="https://github.com/user-attachments/assets/7d18635d-a606-401f-8d9f-430e6e4ee689" />

Engineering (8 types)

eng-frontend eng-backend eng-database eng-mobile eng-api eng-qa eng-perf eng-infra

Operations (8 types)

ops-devops ops-sre ops-security ops-monitor ops-incident ops-release ops-cost ops-compliance

Business (8 types)

biz-marketing biz-sales biz-finance biz-legal biz-support biz-hr biz-investor biz-partnerships

Data (3 types)

data-ml data-eng data-analytics

Product (3 types)

prod-pm prod-design prod-techwriter

Growth (4 types)

growth-hacker growth-community growth-success growth-lifecycle

Review (3 types)

review-code review-business review-security

See references/agents.md for complete agent type definitions.

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How It Works

Phase Execution

Parallel Code Review

Every code change goes through 3 specialized reviewers simultaneously:

IMPLEMENT → REVIEW (parallel) → AGGREGATE → FIX → RE-REVIEW → COMPLETE
                │
                ├─ code-reviewer (Opus) - Code quality, patterns, best practices
                ├─ business-logic-reviewer (Opus) - Requirements, edge cases, UX
                └─ security-reviewer (Opus) - Vulnerabilities, OWASP Top 10

Severity-based issue handling:

• Critical/High/Medium: Block. Fix immediately. Re-review.
• Low: Add // TODO(review): ... comment, continue.
• Cosmetic: Add // FIXME(nitpick): ... comment, continue.

Directory Structure

.loki/
├── state/          # Orchestrator and agent states
├── queue/          # Task queue (pending, in-progress, completed, dead-letter)
├── memory/         # Episodic, semantic, and procedural memory
├── metrics/        # Efficiency tracking and reward signals
├── messages/       # Inter-agent communication
├── logs/           # Audit logs
├── config/         # Configuration files
├── prompts/        # Agent role prompts
├── artifacts/      # Releases, reports, backups
├── dashboard/      # Real-time monitoring dashboard
└── scripts/        # Helper scripts

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Example PRDs

Test Loki Mode with these pre-built PRDs in the examples/ directory:

# Example: Run with simple todo app
./autonomy/run.sh examples/simple-todo-app.md

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Configuration

Autonomy Settings

Customize the autonomous runner with environment variables:

LOKI_MAX_RETRIES=100 \
LOKI_BASE_WAIT=120 \
LOKI_MAX_WAIT=7200 \
./autonomy/run.sh ./docs/requirements.md

Circuit Breakers

# .loki/config/circuit-breakers.yaml
defaults:
  failureThreshold: 5
  cooldownSeconds: 300

External Alerting

# .loki/config/alerting.yaml
channels:
  slack:
    webhook_url: "${SLACK_WEBHOOK_URL}"
    severity: [critical, high]
  pagerduty:
    integration_key: "${PAGERDUTY_KEY}"
    severity: [critical]

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Requirements

• Claude Code with --dangerously-skip-permissions flag
• Internet access for competitive research and deployment
• Cloud provider credentials (for deployment phase)
• Python 3 (for test suite)

Optional but recommended:

• Git (for version control and checkpoints)
• Node.js/npm (for dashboard and web projects)
• Docker (for containerized deployments)

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Integrations

Vibe Kanban (Visual Dashboard)

Integrate with Vibe Kanban for a visual kanban board:

# Install Vibe Kanban
npx vibe-kanban

# Export Loki tasks to Vibe Kanban
./scripts/export-to-vibe-kanban.sh

Benefits:

• Visual progress tracking of all active agents
• Manual intervention/prioritization when needed
• Code review with visual diffs
• Multi-project dashboard

See integrations/vibe-kanban.md for full setup guide.

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Testing

Run the comprehensive test suite:

# Run all tests
./tests/run-all-tests.sh

# Or run individual test suites
./tests/test-bootstrap.sh        # Directory structure, state init
./tests/test-task-queue.sh       # Queue operations, priorities
./tests/test-circuit-breaker.sh  # Failure handling, recovery
./tests/test-agent-timeout.sh    # Timeout, stuck process handling
./tests/test-state-recovery.sh   # Checkpoints, recovery

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Contributing

Contributions welcome! Please:

1. Read SKILL.md to understand the architecture
2. Check references/agents.md for agent definitions
3. Open an issue for bugs or feature requests
4. Submit PRs with clear descriptions and tests

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License

MIT License - see LICENSE for details.

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Acknowledgments

Loki Mode incorporates research and patterns from leading AI labs and practitioners:

Research Foundation

Practitioner Insights

• Boris Cherny (Claude Code creator) - Self-verification loop, extended thinking
• Simon Willison - Sub-agents for context isolation, skills system
• Hacker News Community - Production patterns from real deployments

Inspirations

• LerianStudio/ring - Subagent-driven-development pattern
• Awesome Agentic Patterns - 105+ production patterns

Full Acknowledgements - Complete list of 50+ research papers, articles, and resources

Built for the Claude Code ecosystem, powered by Anthropic's Claude models (Sonnet, Haiku, Opus).

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Ready to build a startup while you sleep?

git clone https://github.com/asklokesh/loki-mode.git ~/.claude/skills/loki-mode
./autonomy/run.sh your-prd.md

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Keywords: claude-code, claude-skills, ai-agents, autonomous-development, multi-agent-system, sdlc-automation, startup-automation, devops, mlops, deployment-automation, self-healing, perpetual-improvement