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FAOS (Foundation Agentic Orchestration & Semantic Platform)

website·Indexed 31 days ago

https://docs.faosx.ai

An enterprise-grade platform for deploying autonomous AI agents that utilize industry ontologies for deep domain knowledge. FAOS features a visual design canvas called FAOS Studio, a three-tier compounding memory subsystem, and official SDKs for Python and TypeScript/JavaScript. The platform provides pre-built industry modules for sectors such as banking, finance, retail, and manufacturing, with support for enterprise integrations including SAP S/4HANA, Oracle NetSuite, Salesforce, and HubSpot.

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What's inside FAOS

  1. Overview of FAOS Foundation Agentic Orchestration & Semantic Platform

    FAOS is an enterprise-grade platform designed for Outcome-as-a-Service (OaaS). Unlike traditional SaaS where users perform the work, FAOS deploys autonomous AI agents to execute work on behalf of the organization. The platform emphasizes a workshop-driven approach to ensure organizational transformation and measurable business outcomes, focusing on the 'North Star Metric': Work Done Per User Per Week.

  2. Overview of the FAOS Partner Program

    The FAOS Partner Program allows partners to white-label the platform, resell AI agent solutions with custom pricing, and deploy solutions for multiple clients from a single master account. There are three primary partner types:

    • Reseller: Best for agencies and consultants; focuses on white-labeling, client management, and revenue share.
    • Technology Partner: Best for software vendors; focuses on API integration, embedded agents, and OEM licensing.
    • Implementation Partner: Best for system integrators; focuses on custom deployments, enterprise setup, and support.

  3. Overview of the FAOS Code Intelligence plugin architecture

    The code intelligence system uses a plugin architecture based on the Open/Closed Principle, allowing new languages to be added without modifying core code. The pipeline consists of grammar loading via tree_sitter_parser.py, a LanguageHandler protocol defined in protocol.py, and a registry in handler_registry.py that maps languages to their respective handlers.

  4. Introduction to Foundation-AgenticOS (FAOSX)

    Foundation-AgenticOS (FAOSX) is designed as an operating system for AI agents in the enterprise. Unlike standard AI tools, it focuses on multi-step workflows with continuity, specialized agent expertise, agent-initiated actions, and multi-agent collaboration to move beyond simple question-answering to actual work execution.

  5. Overview of the Agentic Enterprise framework

    The Agentic Enterprise represents a shift from traditional enterprise software (where humans use AI tools for process automation) to a model where AI agents collaborate with humans to drive autonomous workflows and outcome delivery. Key characteristics include AI agents operating alongside humans, intelligence embedded in every business process, and a focus on outcome measurement over activity.

  6. Overview of Autonomous AI Agents capabilities

    Autonomous AI Agents are designed to execute multi-step workflows with graduated autonomy. They leverage pre-built Industry Ontologies—knowledge frameworks covering 26 different industries (including banking, healthcare, and legal)—to ensure the agents understand specific industry contexts out of the box. The service model is based on 'Outcome-as-a-Service,' where success is measured by completed work and billing is based on results rather than seat licenses.

  7. Overview of FAOS (Foundation AgenticOS)

    FAOS is an agentic operating system designed to shift organizational constraints from human capacity to imagination. It transforms generic foundation models into intelligent agents by encoding business context, workflows, and domain expertise. The system is built around four core pillars: industry ontologies, role-based agents, graduated autonomy, and workshop-driven onboarding.

  8. Overview of FAOS Skills Marketplace capabilities

    The FAOS Skills Marketplace is an Apache 2.0 licensed library containing 930+ unique skills and 31 agent personas. Unlike simple prompts, these are structured skill instructions with metadata (name, description, tags) designed for reliability and repeatability across five platforms: Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, and Perplexity.

    Key skill categories include:

    • Engineering & DevOps: Code review, architecture patterns, CI/CD, K8s, Terraform, and API design.
    • Cloud & Infrastructure: Azure AI/ML SDKs, AWS, GCP, Databricks, and Snowflake.
    • Security & Compliance: OWASP Top 10, NIST CSF, SOC2, HIPAA, and threat modeling.
    • Data & AI/ML: LangChain, RAG, vector databases (Qdrant, Pinecone), and fine-tuning (LoRA, QLoRA).

  9. Overview of the FAOS Neurosymbolic AI approach

    FAOS employs a neurosymbolic architecture that pairs Large Language Models (neural reasoning) with a formal, machine-readable three-layer ontology (symbolic structure). This approach is designed for regulated industries where pure-LLM agents typically fail due to hallucinations of metric ranges, conflation of regulatory frameworks, and drift in role-specific perspectives. The ontology acts as a runtime contract that constrains the agent's reasoning to ensure accuracy, consistency, and compliance.

  10. Overview of FAOS Compounding Memory architecture

    FAOS Compounding Memory is an architectural framework for enterprise AI agents designed to prevent the 'context wall'—where agents become slower and more expensive as conversation history grows. It replaces simple vector database retrieval with a system that manages the lifecycle of memory, ensuring context accumulates at sub-linear cost while maintaining tenant isolation and regulatory compliance (e.g., GDPR, HIPAA).

  11. Overview of FAOS Studio for designing agent Journeys

    FAOS Studio is a visual design environment used to build agent Journeys by dragging and configuring nodes on a canvas. It allows developers to wire together agents, conditions, compliance checks, and case-management steps without writing code. The platform emphasizes governance and validation, making compliance provable directly on the graph.

  12. Overview of FAOS Webhooks

    FAOS webhooks allow you to receive real-time notifications when events occur in your workspace, such as agent actions, workflow executions, and system events. When an event occurs, FAOS sends an HTTP POST request to your configured endpoint. Your server should respond with a 200 OK to confirm successful delivery.