The Agent OS for Enterprise AI Work

Orgopolis is a headless cloud kernel between the assistants employees already use and the agent systems enterprises need to run safely. It connects ChatGPT, Claude, MCP tools, A2A fleets, and native SDK agents with governed memory, budgets, sandboxes, and audit trails.

Orgopolis
Kernel

Memory

Access Controls

Traceability

ChatGPT

Claude

LangGraph

MCP tools

Zero-install front door

Employees keep working in ChatGPT, Claude, internal copilots, or CLI agents while Orgopolis handles execution behind the interface.

Cloud-native kernel

The kernel owns token budgets, context paging, identity envelopes, controlled access rings, and approvals before any agent can act.

Bridge plus factory

Existing LangGraph, Agentforce, ServiceNow, and cloud agents connect through A2A, while new agents inherit controls from the SDK.

Enterprise deployment path

Start with managed SaaS for fast rollout, then move regulated workloads into a private cloud appliance inside the customer's VPC.

Deploy once, deliver everywhere. When you push an agent to Orgopolis, we make it instantly available across the organization.

Agent pushed to Orgopolis

Access Policies

Shared Memory

Budget Sandbox

ChatGPT / Codexassistant

Claude / Coderesearch

Microsoft CopilotM365

Salesforce AgentforceCRM

Native OrgoAgentsSDK

A headless kernel between assistants and enterprise systems

Orgopolis is not another chatbot or single-suite dashboard. It is the operating layer that receives intent from any frontend, resolves identity, pages the right memory, enforces cost and privilege limits, then routes work to existing or native agents.

Orgopolis MCP gateway

Expose one governed MCP endpoint for ChatGPT, Claude, and internal assistants. Orgopolis resolves the user, filters each assistant's tool menu, and routes approved calls to enterprise agents.

AI assistants

ChatGPT & Codex

Claude Cowork & Claude Code

Microsoft Copilot

Orgo MCPOne governed endpoint

mcp.orgopolis.com/enterprise

IdentitySSO user + AgentID

Tool menuOnly approved capabilities

PolicyBudget, memory, access rings

Enterprise agents

Salesforce Agentforce

CRM, renewals, quotes

ServiceNow agents

ITSM, HR, risk workflows

Native OrgoAgents

Finance and internal SDK agents

Auditor agents

Legal, security, evidence review

AI assistants see a personalized MCP tool menu.Orgopolis dispatches approved work to the right enterprise agent with trace and policy attached.

Dual ingestion engine

Bridge existing enterprise agent fleets through A2A endpoints, or build natively with the open-source SDK when teams want kernel primitives by default.

BridgeExisting fleets

LangGraph, Agentforce, ServiceNow, cloud-managed agents, and internal stacks stay where they run.

A2A endpointMCP toolsNo rewrite

FactoryNative builds

Teams build net-new agents with @orgo/sdk or orgo-sdk and inherit controls at creation time.

SDKSecurity hooksMemory bank

normalize

Admit into OrgopolisIngestion kernel

AgentIDOwner, scopes, acting user

Capability cardTasks, tools, risk level

Policy envelopeBudgets, rings, approvals

Registry + runtimeObservable production loop

Virtual memory manager

memory_search finds relevant notes from your memory files, even when the wording differs from the original text. Orgopolis indexes memory into small chunks and searches them with embeddings, keywords, or both before sharing scoped context with agents.

Memory files

Policy notesPII, residency, approvals

Deal historyRenewals, risk, commitments

Incident logsRoot causes, owners, status

memory_search

IndexSplit memory into small chunks with source, owner, and permission metadata.

EmbeddingsKeywordsHybrid

MatchA query for "renewal risk" can find a note that says "churn exposure" and return the right evidence.

Shared agents

Finance agentVendor and spend context

Security agentAccess-review evidence

Support agentCustomer history snippets

Shared enterprise memory stays centralized and governed.Agents receive only the scoped snippets approved for the task.

Controlled access rings

Orgopolis maps each agentic workflow to an access ring before execution. Low-risk reads can proceed, sensitive data needs scoped grants, write actions require approval, and high-impact operations stay blocked unless an owner explicitly elevates them.

Ring 3ObserveRead public or approved context.

Ring 2Scoped dataUse team memory, SaaS records, or customer context.

Ring 1Write actionsCreate tickets, update CRM, send messages, or change workflow state.

Ring 0Critical opsPayments, production changes, privileged access, or regulated decisions.

Orgopolis access decision

IdentityWho is acting?

ScopeWhat can it touch?

ApprovalWho must sign?

EvidenceWhat was recorded?

Elevate only with approvalThe agent can request a higher ring, but Orgopolis keeps the workflow paused until the mapped owner approves it.

Open SDK for production agents

Use @orgo/sdk or orgo-sdk to give every net-new agent an AgentID, memory bank, security hooks, budget cap, trace stream, and A2A delegation surface.

Python

1import asyncio2import os3from claude_agent_sdk import query, ClaudeAgentOptions4from orgo_sdk import OrgoKernel, OrgoAgent56# 1. Connect to the Orgopolis OS Kernel7kernel = OrgoKernel(8    api_key=os.environ.get("ORGO_API_KEY"),9    budget_cap_usd=5.00  # Hard financial limit enforced by Orgo Pre-LLM10)1112# 2. Define the Agent's Corporate Identity and State13orgo_env = OrgoAgent(14    id="q3-financial-researcher",15    kernel=kernel,16    ring=2,  # Medium privilege (CRM access, no Ring-0 DB access)17    policies=["redact-pii", "eu-data-residency"],18    memory_bank="finance-team-vault"  # Automatic state hydration19)20

Enterprise case

Why enterprises need an Agent OS

Enterprises need a neutral operating layer that separates the assistant people talk to from the runtime that governs agents, memory, tools, cost, identity, and execution authority.

Agent OS front door Cloud kernel Enterprise case Agent source map Governance controls Audit and cost controls

ChatGPT, Claude, copilots, and IDE agents are how people ask for work. Orgopolis is the execution layer that decides which tools, agents, data, and budgets are available for that person and task.

Works across every agent source

Connect consumption frontends, suite-native agents, cloud-managed agents, internal frameworks, native SDK agents, and private-cloud deployments into one enterprise operating model.

Consumption interfaces

Employees keep the assistants they already use.

Orgopolis is headless by design. ChatGPT, Claude, internal copilots, IDE agents, and CLI tools call the same governed gateway instead of forcing every employee into a new application.

ChatGPT / Codex

Daily business interface

Expose a personalized menu of approved enterprise agents and tools through the Orgopolis Gateway.

HTTP-SSEMCPSSO

Claude Cowork / Code

Research and engineering work

Let power users run enterprise tasks from Claude while the kernel enforces memory, tool, and cost boundaries.

MCPToolsAudit

Internal copilots

Department portals

Give existing internal assistants a controlled way to discover and invoke approved company agents.

IdentityPolicyTrace

IDE and CLI agents

Developer workstations

Connect terminal and coding agents without letting local credentials become the trust boundary.

CLIReposScopes

Workflow portals

Existing enterprise UI

Embed Orgopolis calls behind service catalogs, intake forms, and business-process screens.

RESTWebhookSSE

Give every agent a budget, memory boundary, and blast radius.

Orgopolis turns agent execution into enterprise infrastructure: identity first, cost bounded, context scoped, sandboxed, observable, and ready for SaaS or private cloud deployment.