HeadyOS
The AI Agent Operating System
HeadyOS is the runtime layer that powers every Heady service. It schedules AI agents, manages resources across 14 specialized service groups, and self-heals — all driven by the HCFP auto-success engine. Think of it as Linux for AI agents.
🏗️ System Architecture
Six-layer stack from edge to persistence
📊 Service Groups
14 specialized groups — each with a clear purpose, usage, and orchestration role
🔥 HCFP Auto-Success Engine
The self-driving intelligence kernel that coordinates all 14 groups
Self-Healing
Detects service failures, stale processes, and orphaned connections across all groups — then automatically recovers without human intervention.
Auto-Optimization
Continuously profiles latency, cost, and quality per provider. Routes shift automatically to maintain optimal performance within budget constraints.
Zero Trust Security
Production domain enforcement, credential rotation, mTLS mesh, and policy interception — all managed automatically by the Governance group.
Continuous Learning
Knowledge Vault captures insights from every interaction. The Embedding group indexes and retrieves context, making the system smarter over time.
Budget Intelligence
Real-time cost tracking with configurable daily and monthly caps. Automatically throttles expensive providers and promotes free-tier alternatives.
Task Decomposition
Complex requests are split by the Swarm group across best-fit providers, executed in parallel, and merged with quality scoring from the Battle group.
Platform Overview
HeadyOS is the AI agent operating system — the runtime layer that powers every Heady service. It orchestrates 14 specialized service groups and drives autonomous success through the HCFP auto-success engine.
Agent Runtime
The core runtime layer that schedules, manages, and monitors AI agents across all service groups with automatic resource allocation.
14 Service Groups
Specialized groups from Ops to Intelligence to Creative — each with a clear purpose, health monitoring, and orchestration role.
HCFP Auto-Success
The self-driving intelligence kernel that coordinates all groups, self-heals failures, and continuously optimizes performance.
Quick Start
Boot HeadyOS in three steps: connect to the runtime, initialize your service groups, and deploy your first agent. You'll be operational in under five minutes.
Connect to Runtime
Authenticate with your HeadyOS instance and establish a secure connection to the agent runtime layer.
Initialize Service Groups
Select and activate the service groups your workflow requires. Each group auto-configures its dependencies.
Deploy First Agent
Launch your first AI agent with a single command. The HCFP engine handles scheduling, routing, and optimization.
Installation
Deploy HeadyOS anywhere — Docker Compose for local development, Kubernetes Helm charts for production clusters, or Cloudflare Workers for edge-first deployments.
Docker Compose
Spin up the full HeadyOS stack locally with a single docker-compose up. Includes all 14 service groups and the HCFP engine.
Kubernetes Helm Chart
Production-grade deployment with auto-scaling, rolling updates, and health-check integration via the official Helm chart.
Cloudflare Workers
Edge-first deployment on Cloudflare's global network. Sub-millisecond cold starts with KV Cache and Vectorize integration.
System Architecture
HeadyOS runs a 6-layer stack from edge to persistence. The orchestration layer coordinates all service groups while the intelligence mesh routes AI requests across providers.
6-Layer Stack
Edge, Gateway, Orchestration, Intelligence, Service Mesh, and Persistence — each layer with clear boundaries and responsibilities.
Orchestration Layer
The Service Conductor manages task decomposition, workflow execution, and cross-group coordination with priority queuing.
Intelligence Mesh
Multi-provider AI routing with automatic failover, quality scoring, semantic caching, and budget-aware provider selection.
Data Model
HeadyOS structures data around service group schemas, agent state objects, task decomposition trees, and knowledge vault entries for persistent memory.
Service Group Schemas
Each of the 14 groups defines typed schemas for configuration, health status, and inter-group communication contracts.
Agent State Objects
Every agent maintains a state object tracking its lifecycle, assigned tasks, resource consumption, and execution history.
Task Decomposition Trees
Complex tasks are broken into hierarchical subtask trees with dependency tracking, parallel execution paths, and merge points.
Knowledge Vault Entries
Persistent memory stored as vector-indexed entries with metadata, provenance tracking, and semantic similarity search.
Security
HeadyOS enforces zero-trust security with mTLS between all service groups, production domain enforcement, automatic credential rotation, and comprehensive audit trails.
Zero-Trust Mesh
Every service-to-service call is authenticated and authorized. No implicit trust between groups — all access is policy-controlled.
mTLS Between Groups
Mutual TLS encryption for all inter-group communication with automatic certificate provisioning and rotation.
Domain Enforcement
Production domain rules prevent unauthorized access patterns, enforce CORS policies, and block cross-origin data exfiltration.
Credential Rotation
Automated rotation of API keys, tokens, and certificates on configurable schedules with zero-downtime handoff.
API Reference
RESTful API with endpoints for agent management, group orchestration, task execution, and system health. WebSocket streams for real-time events.
/agents
Create, list, update, and terminate AI agents. Manage agent configurations, resource limits, and group assignments.
/groups
Query service group status, health metrics, and configuration. Enable, disable, or reconfigure groups at runtime.
/tasks
Submit tasks for decomposition and execution. Track progress, retrieve results, and manage task priority queues.
/health & WebSocket
System health endpoints and WebSocket streams for real-time agent events, group alerts, and task progress updates.
Webhooks
Subscribe to real-time events across the HeadyOS platform — agent lifecycle changes, group health alerts, task completions, and budget threshold triggers.
Agent Lifecycle Events
Receive callbacks when agents are created, started, paused, resumed, or terminated across any service group.
Group Health Alerts
Instant notifications when service groups degrade, recover, or breach configured health thresholds.
Task Completion Callbacks
Get notified when tasks complete, fail, or require manual review — with full result payloads and quality scores.
Budget Threshold Triggers
Automated alerts when spending approaches or exceeds configured daily, monthly, or per-agent budget limits.
SDKs & Libraries
Official client libraries and CLI tools for integrating with HeadyOS — TypeScript, Python, Go, and a full-featured command-line interface.
HeadyOS CLI
Full-featured command-line interface for managing agents, groups, tasks, and deployments from your terminal.
TypeScript SDK
Type-safe client library with full IntelliSense support, streaming responses, and built-in retry logic.
Python Runtime Bindings
Async-native Python SDK with Pydantic models, streaming support, and seamless integration with popular AI frameworks.
Go Agent Framework
High-performance Go library for building custom agents with concurrent task execution and minimal memory footprint.
Ecosystem
HeadyOS powers an integrated ecosystem of products — from AI routing and API gateways to companion apps and protocol bridges.
HeadyAI Routing
Intelligent multi-provider AI routing with automatic failover, cost optimization, and quality-based provider selection.
HeadyAPI Gateway
Unified API gateway with rate limiting, authentication, analytics, and developer portal for all Heady services.
HeadyBuddy Companion
Embeddable AI assistant widget that connects to HeadyOS for contextual help, onboarding, and interactive support.
HeadyMCP Protocol
Model Context Protocol bridge enabling external AI tools and IDEs to connect directly to HeadyOS service groups.
HeadyMe Hub
Personal dashboard and command center for managing all Heady services, agents, budgets, and knowledge vaults.
Support
Get help from the HeadyOS community and team — Discord for real-time chat, GitHub for issues and contributions, docs for self-service, and enterprise SLA for production support.
Discord Community
Join the HeadyOS Discord for real-time help, feature discussions, showcase channels, and direct access to the team.
GitHub Issues
Report bugs, request features, and contribute to HeadyOS development through our public GitHub repositories.
Documentation Hub
Comprehensive guides, tutorials, API references, and architecture deep-dives at docs.headyos.com.
Enterprise SLA
Dedicated support with guaranteed response times, private Slack channel, and on-call engineering for production deployments.