Automatos AI
Stop Fighting Your AI Agent

Built for developers tired of agents that lose context, fabricate results, and require constant re-explanation. The open-source multi-agent orchestration platform that combines advanced context engineering with persistent memory. Build, deploy, and scale intelligent workflows that learn from and adapt to your infrastructure.

Open Source
Development phase
Cloud Native

The Problems Every Developer Faces With AI Agents

Sound familiar? These frustrations drove the creation of Automatos AI.

Context Confusion

Agent gets context wrong, produces irrelevant results

Smart Task Assignment

Agent Burnout

Agent forgets things mid-conversation, makes mistakes

Persistent Memory System

Fabrication Issues

Agent makes up results when overloaded

Specialized Agent Teams

Single Agent Limits

One-on-one interaction becomes insufficient

Multi-Agent Orchestration

Constant Re-explanation

Always explaining system from scratch

System-Living Agents

No Memory/Learning

Agent doesn't learn from previous interactions

Context Engineering Docs

Powerful Features for Modern AI Workflows

Built with advanced context engineering and intelligent agent coordination. Our platform combines sophisticated AI orchestration with developer-friendly tools for building the next generation of autonomous systems.

Context Engineering

Advanced context retrieval and management system with vector embeddings, relevance scoring, and multi-strategy synthesis for intelligent agent decision-making.

Agent Collaboration

Sophisticated coordination system supporting Sequential, Parallel, Hierarchical, and Peer-to-Peer collaboration patterns with predictive workflow optimization.

Learning Engine

Pattern recognition system with historical analysis, success rate tracking, and adaptive performance optimization for continuous agent improvement.

Cognitive Task Tools

LLM-powered task decomposition and content generation tools that automatically break down complex requirements into executable workflows.

Multiple Agents Collaborate

One professional orchestrator assigns tasks to specialized agents. Code architects, security experts, data analysts - each focused on what they do best.

Agents Learn From Mistakes

Pattern recognition with historical analysis means agents improve over time. SSH access lets them debug, fix, and learn from real system interactions.

Why Choose Automatos AI?

From rapid prototyping to enterprise deployment, Automatos AI delivers value at every stage of your AI journey.

Developer Experience

50% faster development

Intuitive APIs, comprehensive documentation, and powerful CLI tools that make building with AI agents a joy.

TypeScript supportHot reloadingDebugging toolsVS Code extensions

Enterprise Scale

99.9% uptime

Built to handle enterprise workloads with high availability, fault tolerance, and horizontal scaling.

Multi-region deploymentLoad balancingAuto-scalingDisaster recovery

Cost Optimization

Up to 40% cost reduction

Intelligent resource allocation and efficient agent utilization to minimize operational costs.

Resource optimizationUsage analyticsCost monitoringEfficiency metrics

Time to Market

Deploy in minutes

Pre-built integrations and templates to get your AI workflows running in production quickly.

Quick start templatesPre-built connectorsOne-click deploymentMigration tools

Built on Modern Architecture

Automatos AI combines proven technologies with innovative approaches to create a robust, scalable platform for multi-agent orchestration. Our architecture is designed for flexibility, performance, and developer productivity.

Context Engineering

Advanced embedding generation, vector similarity search, and context synthesis with PgVector and Redis for intelligent context management.

PgVectorVector EmbeddingsContext SynthesisRelevance Scoring

Learning & Analytics

Pattern recognition with scikit-learn clustering, temporal decay analysis, and performance tracking for continuous system optimization.

scikit-learnPattern RecognitionPerformance AnalyticsTemporal Analysis

Cognitive Task Tools (IBM Research)

Increases AI performance from 26.7% to 43.3% on complex tasks. Prevents overload through intelligent task decomposition - no more fabricated results.

Agent CollaborationWorkflow ManagementReal-time CoordinationMulti-Agent Systems

MCP Integration

Enhanced Model Context Protocol bridge with SSH integration, secure command execution, sandboxing, and comprehensive monitoring.

SSH IntegrationSecure ExecutionSandboxingMonitoring

Development Status

Automatos AI is currently in active development. We're building a comprehensive platform that combines context engineering with practical multi-agent orchestration. Join our community to help shape the future of AI agent coordination.

Active Development
Open Source
Community Driven

Built by the Community, for the Community

Join developers contributing to the future of AI orchestration. Open source, transparent, and driven by innovation.

Start Contributing Today

Whether you're fixing bugs, adding features, or improving documentation, every contribution makes Automatos AI better for everyone.

🐛 Bug fixes and improvements
✨ New features and enhancements
📚 Documentation improvements
🧪 Testing and quality assurance

Follow Our Journey

Stay updated with the latest developments, join discussions, and be part of the Automatos AI community.