Enterprise

Bring every agent into your
permission, knowledge and accountability system

Manage people assignments, multi-level memory, tools, data, approvals, operations and audit across the full digital-worker lifecycle.

Explore Governance

Enterprise console and centralized policy capabilities depend on the current release, deployment model and solution assessment.

Enterprise Control Plane

The managed subject is the agent — not a single run

An enterprise agent is a durable digital worker. Runs, Checkpoints and receipts are its work records.

Enterprise Agent AgentFS

Identity & Role

Stable identity, responsibility and boundaries

Organization & Owner

Department, team, accountable owner and service scope

Assets & Version

AgentFS, capability baseline and release state

Memory & Knowledge

Multiple scopes, depths and promotion boundaries

Tools & Data

Capabilities, directories, connectors, models and budgets

State & Work Records

Active work, exceptions, receipts, evaluation and audit

Admin Console

See effective boundaries from the organization down to one agent

DesireCore Enterprise
01Overview
02Organization & Members
03Agents
04Memory & Knowledge
05Tools & Data
06Policy & Approval
07Operations
08Audit & Receipts
Enterprise Agent

Financial Reporting Agent

Published
01Agents

Identity, role, owner, service scope, version and state

02Memory & Knowledge

Scopes, access policy, promotion and provenance

03Tools & Data

Tools, Skills, MCP, directories and connectors

04Policy & Approval

Templates, Human Gates, approvers and exceptions

Effective policy

Calculated from enterprise ceilings, department policy, user relationship and task context.

Policy v12
Unified Policy Model

Answer precisely: who can ask which agent to do what

Enterprise ceilings flow downward; explicit denial wins; delegated authority is the intersection of caller, target agent and current task.

01

Who

User, group, department, role or agent

02

On what

Agent, memory, tool, data, model or work record

03

Can do what

Discover, use, read, write, delegate, approve or export

04

Under which conditions

Environment, origin, risk, time, budget and expiry

05

With what result

Allow, deny, require approval or return masked content

Multi-level Memory Governance

Grant a specific subject specific actions on specific memory levels of a specific agent

Policy combines ownership scope, content depth and action — never a single “memory access” toggle.

01

Enterprise Memory

Policies, terminology, knowledge standards and cross-department rules

02

Department / Team Memory

SOPs, project knowledge and shared experience

03

Agent Core Memory

General expertise and durable experience of the agent

04

User–Agent Private Memory

Personal corrections, working relationship and private experience

05

User Profile & Preferences

Cross-agent identity, preferences and privacy rules

06

Task Working Memory

Current material and unconfirmed intermediate conclusions

Content depth
L0

Summary

Know the topic and minimal conclusion

L1

Key Points

Read important rules, facts and decisions

L2

Full Detail

Access sources, examples and sensitive detail

Allowed actions
DiscoverReadInject ContextAddCorrectPropose PromotionApprove PromotionRevokeExport

Example: Finance user × Financial Reporting Agent

Corporate finance policyRead L0/L1; L2 requires approval; export denied
Finance team memoryRead L0/L1/L2; may propose additions, cannot publish directly
Agent core memoryInject L0/L1; agent reads L2 only under policy
Personal private memoryUser can read, write, correct and delete; admins see metadata by default
Current task materialUsable in the task; delete, archive or propose promotion at completion

Memory policy must be enforced consistently across retrieval, context assembly, direct file access, search, export, cloning and automated memory work — not merely hidden in the admin UI.

Full Lifecycle

Manage enterprise agents like durable job capabilities

  1. 01

    Draft

    Edit identity, rules, memory and capabilities

  2. 02

    Test

    Use only test users and sandbox data

  3. 03

    Pending Approval

    Freeze version for business and security review

  4. 04

    Published

    Serve authorized users in production

  5. 05

    Suspended

    Stop accepting work and handle active tasks

  6. 06

    Retired

    Disable use and retain records by policy

Operations, Approval & Recovery

Keep low-risk work flowing and make high-risk responsibility explicit

Visible

Inspect agent state, active work, cost, exceptions and outcomes.

Controlled

Configure Human Gates, approval chains and temporary grants by risk.

Recoverable

Use retries, Checkpoints, pause and human takeover to handle failure.

Accountable

Record agent version, policy, memory access, approvals and deliverables.

A work receipt should answer

01Who initiated02Which enterprise agent03Which capability version04Which policies applied05Which memory levels were accessed06Which tools and data were used07Who confirmed critical actions08Deliverables and recovery records
Deployment & Responsibility

Every deployment model must make trust boundaries explicit

01

Identity and organization source

02

AgentFS and memory location

03

Memory retrieval and context assembly location

04

Model request path and content boundary

05

Agent and background task runtime

06

Connector credential ownership

07

Policy, audit and receipt retention

08

Update, backup and incident responsibility

DesireCore Enterprise

Start with one real role and one controlled workflow

Define responsibility, memory boundaries, tools, data, approval points and acceptance evidence before expanding deployment.

Explore the Platform
This page presents the enterprise solution direction. Availability is confirmed against the current release and formal solution scope.