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AI That Works

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While You Sleep

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What is Spark?

Spark is a temporal automation system that transforms reactive AI agents into proactive, autonomous workers. The “smart alarm clock” for your AI agents - scheduling workflows, orchestrating executions, and making your repositories work 24/7.

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The Problem

AI agents are typically reactive - they only work when you ask:
  • Always On-Demand: Agents wait for human input
  • No Autonomy: Can’t run tasks on schedules
  • Manual Triggers: You have to remember to run things
  • Wasted Time: Repetitive tasks done manually
  • No Continuous Work: Development stops when you stop

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The Solution

Spark gives AI agents autonomous temporal life:

Cron-Based Scheduling

Define workflows that run on any schedule. Every hour, daily, weekly, or custom intervals.

Workflow Orchestration

Chain multiple tasks together. Run complex multi-step processes automatically.

24/7 Autonomous Execution

Your AI agents work around the clock, even when you’re asleep or on vacation.

Monitoring & Logging

Track every execution, see what worked, debug what didn’t, measure productivity.

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Key Features

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⏰ Flexible Scheduling

  • Cron Expressions: Industry-standard scheduling
  • Timezone Support: Run tasks in any timezone
  • One-Time or Recurring: Single executions or ongoing automation
  • Smart Retries: Automatic retry on failures

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🔄 Workflow Automation

  • Multi-Step Tasks: Chain operations together
  • Conditional Logic: Run tasks based on conditions
  • Parallel Execution: Run multiple workflows simultaneously
  • State Management: Maintain context between runs

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📊 Monitoring & Observability

  • Execution History: See every run and its results
  • Error Tracking: Catch and analyze failures
  • Performance Metrics: Measure execution times
  • Alerts: Get notified when things go wrong

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🎯 Repository Automation

  • Code Analysis: Run linters and tests automatically
  • Documentation Updates: Keep docs in sync with code
  • Dependency Updates: Check for updates on schedule
  • Build & Deploy: Automate CI/CD workflows

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Who is Spark For?

Automate repetitive tasks and let your AI agents maintain your projects while you focus on building.
Schedule maintenance tasks, monitoring, and automated responses to common issues.
Run long-running experiments and data collection tasks on autopilot.
Automate report generation, metric collection, and stakeholder updates.

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Why “Spark”?

A spark ignites action - and that’s exactly what this tool does. It sparks your repositories into autonomous life, transforming passive codebases into active, self-maintaining systems.

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Architecture

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Use Cases

Daily Reports

Generate and send reports every morning automatically.

Dependency Updates

Check for security updates and create PRs weekly.

Code Quality Checks

Run linters and tests on a schedule, catch issues early.

Content Generation

Create and publish content based on data analysis daily.

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Philosophy

Spark embodies our core philosophy:

AI that elevates human potential, not replaces it

  • You define schedules - Spark executes
  • You create workflows - Spark orchestrates
  • You monitor - Spark reports
  • You control - Spark automates

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Next Steps

Installation

Get Spark installed and configured

Quick Start

Create your first automated workflow

GitHub Repository

View source code and contribute

PyPI Package

Install via PyPI