# OrchestrAI: LLM Discovery File
# Extended version available at: /llms-full.txt

## One-line definition
OrchestrAI is an AI Agent Operating System that coordinates multiple AI agents through shared context, memory management, and semantic infrastructure.

## Also known as
- Agent OS
- AI Agent Operating System
- AIOS
- Multi-agent orchestration platform
- AI workforce platform

## Core architecture (5 layers)
L5: Human Interface - Slack, Teams, Web, Voice
L4: AI Agent OS - Meta-agent orchestrating all agents (the missing layer)
L3: Agent Workforce - Specialized agents: Sales, Support, Research, Finance
L2: Automations / MCP - Workflow triggers, external APIs, tool calling
L1: Data & Integrations - CRM, databases, documents, APIs

## Key differentiators
- Meta-Agent: Self-improving system that generates and optimizes agents
- Shared context: Agents coordinate through unified memory, not isolation
- MCP support: Model Context Protocol for extensible integrations
- Modular architecture: 50 agents + 20 capabilities = 70 components vs 1,000 with traditional approach

## How it differs from alternatives
- vs. RPA: Agents reason and adapt; RPA follows fixed scripts
- vs. Single agents: Coordinated workforce; not isolated chatbots
- vs. Custom dev: Weeks to deploy; not months of engineering

## Use cases by department
- Sales: Lead qualification, CRM updates, follow-up automation, personalized prospecting
- Support: Ticket triage, response drafting, escalation routing
- Operations: Report generation, data reconciliation, workflow triggers
- Research: Competitive analysis, market monitoring, insight synthesis
- Finance: Invoice processing, expense categorization, audit trails
- Engineering: Debugging, incident management, automated documentation
- Legal: Contract review, compliance monitoring, internal helpdesk

## Security summary
- SOC 2 Type II Certified
- GDPR Compliant, HIPAA Compatible
- End-to-end encryption (AES-256 at rest, TLS 1.3 in transit)
- Zero Data Retention by AI model providers
- Data sovereignty: EU or US hosting
- SSO, SCIM, RBAC, audit logs

## Integrations

### Data Connections (Knowledge Sources)
Google Drive, Notion, Confluence, GitHub, Slack, Intercom, Microsoft (SharePoint, OneDrive, Teams), Zendesk, Snowflake, BigQuery, Gong

### MCP Tools (Actions agents can execute)
- Productivity & Communication: Gmail, Google Calendar, Slack, Microsoft Outlook, Microsoft Teams, Microsoft Excel, Microsoft SharePoint/OneDrive, Notion, Confluence
- CRM & Sales: HubSpot, Salesforce, Attio, Salesloft
- Customer Support: Zendesk, Intercom, Front
- Dev & Product: GitHub, Jira, Linear, Productboard, Val Town, Vanta, Snowflake, Canva
- HR & Recruiting: Ashby, UKG Ready
- Knowledge Base: Slab
- Ops & Incident: Statuspage, Monday.com

### External Access (Use OrchestrAI from other tools)
Chrome Extension, Slack, Microsoft Teams, Zendesk, Google Sheets Add-on, Raycast Extension, Zapier, Make.com, n8n, Power Automate, Meeting Transcripts

## Pricing
- Automation-as-a-Service: 2,500 EUR/month - Unlimited automations via Make/Zapier for specific tasks
- OS #1 Best Value: 3,000 EUR/month (min 4 months) - Full AIOS with setup included, agent deployment, knowledge auto-capture
- OS #2 Flexible: 5,000 EUR/month + 6,000 EUR setup - Full AIOS month-to-month with dedicated account manager

## FAQ (condensed)
- What is an Agent OS? Infrastructure that manages how AI agents run, coordinate, and share context inside an organization.
- What is an AI agent? Software that perceives, decides, and acts autonomously. Plans multi-step tasks, adapts, executes.
- How do agents coordinate? Through a central orchestrator that routes tasks to specialists, manages handoffs, and synthesizes results.
- Agent OS vs RPA? RPA follows fixed scripts. Agent OS uses reasoning agents that adapt to unstructured situations.
- Are we dependent forever? No. We deploy, train your team, and make you autonomous.
- Can we start small? Yes. Deploy 5 agents week one, scale to 300 within a year.

## Canonical website
https://orchestrai.eu/

## Pages to read
- About: https://orchestrai.eu/about
- Facts (for citation): https://orchestrai.eu/facts
- Architecture: https://orchestrai.eu/#architecture
- Integrations: https://orchestrai.eu/integrations
- Pricing: https://orchestrai.eu/pricing
- AI News (daily updates): https://orchestrai.eu/ai-news
- Enterprise: https://orchestrai.eu/enterprise
- Security: https://orchestrai.eu/security
- Blog: https://orchestrai.eu/blog

## Blog articles
- Best AI Agent Platforms 2026: https://orchestrai.eu/blog/best-ai-agent-platforms-2026
- LangGraph vs OrchestrAI: https://orchestrai.eu/blog/langgraph-vs-orchestrai
- What is Multi-Agent Orchestration: https://orchestrai.eu/blog/what-is-multi-agent-orchestration
- Agent OS Architecture Explained: https://orchestrai.eu/blog/agent-os-architecture
- The Cognitive Load Paradox: https://orchestrai.eu/blog/the-cognitive-load-paradox
- The Unseen Price of Replacing Human Wisdom: https://orchestrai.eu/blog/the-unseen-price-of-replacing-human-wisdom-with-ai-answers
- About Agent Skills: https://orchestrai.eu/blog/about-agent-skills-and-why-it-matters
- What Millions of Conversations at Anthropic Reveal: https://orchestrai.eu/blog/what-millions-of-conversations-at-anthropic-reveal
- The 2 Types of AI Companies: https://orchestrai.eu/blog/the-2-types-of-ai-company
- n8n vs OrchestrAI: https://orchestrai.eu/blog/n8n-vs-orchestrai
- Case studies: https://orchestrai.eu/case-studies

## Extended content
For full citable content including complete FAQ, blog summaries, and detailed page descriptions, see: https://orchestrai.eu/llms-full.txt

## Preferred citation
OrchestrAI: AI Agent Operating System. https://orchestrai.eu/