DesireCore, Agentic Platform
for Real Business

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AGENT OS
Teach Once, It Learns

Teach AI how you work. Let it execute and evolve.
Build your digital workforce.

Multi-Agent Mode Reliable Workflow

Multi-Agent Mode: Team Collaboration, Parallel Execution

Automatically assemble AI expert teams on demand. Multiple agents work in parallel, each with a clear role — plan, collaborate, and deliver high-quality results.

Deep conversational collaboration with agents to plan, build and ship — from idea to production.

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Reliable Workflow: Codify SOPs, Stable Delivery

Codify proven processes into SOPs and Workflows. Create and adjust workflows conversationally, or fine-tune each node manually. Built-in error handling and retry mechanisms for stable, reliable execution.

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Open AgentOS

Build your digital workforce super team.

Natural Language Teaching Open to All

Teach agents your workflow through conversation — set rules, show examples. Long-term memory shared across sessions, Auto Dream auto-consolidates experience. Skills & Agents evolve continuously — the longer you use it, the more it can do.

Open API Integration Open Integration

Integrate agents into your business systems via API. Agents can also query enterprise data through APIs or databases — tight coupling between agents and your business workflows.

All Models, Multimodal Open Models

Not locked to any AI vendor. OpenAI, Claude, DeepSeek, Qwen, local models — your own API key, direct connection. Supports text, image, voice, video, and code multimodal capabilities.

Security & Compliance Open Governance

Every API call, every decision, every token spent — full audit trail, fully traceable. AI auto-approves low-risk actions, humans confirm high-risk ones. Enterprise compliance ready.

Scheduled Automation Open Automation

Your business processes, executed by agents. Scheduled triggers, event-driven workflows, multi-step orchestration, visual orchestration, replay debugging, decision trees — turn any SOP into automated tasks, running 24/7 unattended.

You Own Your Assets Open Data

AgentFS: everything is a file — config, memory, skills all file-based. Exportable, migratable, version-controlled. Your data stays in your hands.

Ecosystem Co-Build Open to Partners

Fully open to partners. ISVs and domain experts can build solutions on AgentOS, publish agents, skills, and workflow templates through Agent Market — turning industry know-how into deliverable digital assets, or package as your own branded product to deliver directly to customers.

Teach → Collaborate → Execute
You
Create a marketing copywriter — professional but not rigid, outline first then write
AI
Created "Marketing Copywriter"
Style: professional Flow: outline → body Saved to Skills
You
No exclamation marks in titles, add CTA at the end
AI
Learned, saved to Skills:
No ! in titles End with CTA Permanent
You
Write a product launch tweet
AI
Executing: outline → write → style check → add CTA...
Agents → Business
CRM / ERP / OA Slack / Teams / IM In-house Apps
REST API Webhook Embed
API
AgentOS
Plug & Play
API / DB
Data → Agents
DB / Warehouse Email / Git Repos Storage / Files
Smart Query Real-time
All Models · Multimodal · No Lock-in
AI Providers
OpenAI Claude DeepSeek Qwen Gemini Ollama Local More ...
Your Key
AgentOS
Switch Freely
Multimodal
Text Image Voice Video Code
Three-Layer Security
Approved Read sales database
GPT-4o 1,247 tokens 0.8s
Approved Generate weekly report
Claude 3,582 tokens 2.1s
Review Send client email
Pending →
Blocked DROP TABLE users
Policy: no delete
Trigger
Timed / Event
Decompose
SOP → Subtasks
Execute
Auto Tools
Check
Done / Error?
Deliver
Report
↻ Continue Loop
Competitor pricing Daily 09:00 323 runs
Server health check Every 30min 1,247 runs
Weekly report gen Mon 08:00 Running...
AgentFS — Everything Is a File
~/.desirecore/agents/
📁 marketing-copywriter/ Git Repo
🪪 agent.json Identity · ID · status
👤 persona.md Personality · style
📐 principles.md Behavioral rules
🧠 memory/ Long-term · cross-session
skills/ Skills · injectable
📋 workflows/ Workflows · SOP
🔧 tools/ Toolbox · callable
💓 heartbeat/ Active watch · cron
.git/ Version control · revert · fork
Ecosystem · Two Paths
Partners
ISV System Integrators Domain Experts Developers
Industry Know-How
Build
AgentOS
Agents Skills Workflows Connectors
Publish
Package
Agent Market
One-click · Pay-as-you-go · Shared
Your Branded Product
Solutions · Branded · Direct to clients
CORE VALUES

Teach your AI companion how you work. Then let it work for you.

Teachable

💬 "Contracts over $50K need legal review"
Learned
From now on, I'll automatically route contracts over $50K to Legal — no reminders needed.
Permanent Editable

Teach rules through conversation, like onboarding a teammate — it explicitly confirms what it learned, effective permanently

Remembers

Knowledge Base
Expense policy Contract review Complaint SOP
Onboarding Weekly report
47 rules
⟳ Cross-scenario sync ↗ Growing

Preferences and rules accumulate as a knowledge graph, auto-synced across scenarios — expertise only grows, never lost

Takes Action

1
Patient Child's had a fever for 3 days
2
Probe Peak temp? Rash or sore throat? Vaccination history?
3
Result Suspect URI → recommend CBC + CRP

Proactively clarifies requirements using expert decision trees, then autonomously plans, orchestrates tools, and delivers results

Under Control

Audit Trail Live
Read config Auto
? Alter schema Approval
Drop table Blocked
Revert to any step

Low-risk ops auto-approved, high-risk requires human review, dangerous actions blocked — revert to any step if needed

MCP ProtocolGUI ControlSkills InjectionSkills Auto-EvolutionAgent Auto-EvolutionLong-term Memory + Cross-sessionAuto Dream ForgettingCreate Agents via ChatChain of ThoughtWhiteboard ModeDynamic FormsSubAgent / Team ModeAgent Swarm ModeAgent MarketplaceAgent VersioningAgentFS File SystemDelegation SystemHardened SOPWorkflow OrchestrationVisual Workflow + ReplayLong-Horizon TasksHeartbeat MonitoringMulti-Device ControlSandbox ExecutionAI Approval + API AuditHook + Policy SecurityEmail / Git Repos / Object Storage
PHILOSOPHY

From "ask and answer" to "teach and do."

Use it once, it's an assistant. Use it a hundred times, it's your person.

✦ EXCLUSIVE
Decision Tree EngineWhiteboard InteractionImmersive InteractionAgent Knowledge GraphMulti-Agent Team
Learn more →

Interaction

From Q&A to Active Learning

Chat AI
You ask, it answers
Automation Tools
You configure workflows
DesireCore
You teach, it learns

Memory

From Forgetting to Long-term

Chat AI
Forgets after session
Automation Tools
No memory
DesireCore
Long-term + Auto Dream

Execution

From Text to Action

Chat AI
Text only
Automation Tools
Fixed scripts
DesireCore
Autonomous · Multi-Agent

Evolution

From Static to Growing

Chat AI
Never improves
Automation Tools
Never improves
DesireCore
Auto-Evolution

Control

From Black Box to Transparent

Chat AI
Unpredictable
Automation Tools
Inflexible
DesireCore
Visible · Controllable

Ownership

From Platform to User

Chat AI
Platform-owned
Automation Tools
Platform lock-in
DesireCore
AgentFS · Local
Interaction Memory Execution Evolution Control Ownership
Chat AI
Automation Tools
DesireCore
Key Differentiator Matrix
CoreToolSkillsMCPMultimodalSandBoxGUI ControlDesktopMobileRPAComputer UseMulti-deviceMemoryLong-termCross-sessionAuto DreamLossless CompressionAuto-organizeEvolutionConversational LearningSkillsAgent EvolveMulti-AgentSubAgentSwarmTeam ModeChat-createGroup ModeAutomationWorkflowReplayCronDecision TreeEmail MgmtLong TasksBackground TasksParallel TrackingRecoveryControlled ExecCloud DeploySecurityAI ApprovalAPI AuditObservabilityPolicy ExecData Ownership
DesireCore Agent OS CompleteDesktopCompleteCompleteCompleteCompleteCompleteComplete
OpenClaw-like Agent StrongDesktopWeakWeakNoneMidMidWeak
Coding CLI-like CLI StrongNoneMidWeakPartialWeakPartialWeak
Dify/Coze/n8n-like Workflow StrongNoneWeakNoneWeakStrongPartialStrong

Core Concepts

Three principles that guide our actions

Up to 100+
Agents working in parallel
100%
Your data, always yours
3 Layers
Controllable security system

Human-First Interaction

AI should adapt to how people work, not the other way around. Natural language teaching, delegative interaction, whiteboard interaction, immersive interaction mode, transparent control — let professionals command AI in the way they already think, not forced to learn AI's language.

Co-Built with Experts

Real industry intelligence doesn't come from generic models — it's taught by domain experts. We provide the tools and platform so every expert can turn their experience into reusable, deliverable digital assets.

Infrastructure for Agent Adoption & Evolution

Memory, evolution, collaboration, governance — not isolated features, but the complete infrastructure for agents to run and grow in real business. From usable to useful, from useful to autonomously improving.

Agent Team

Chat to assemble. Team to deliver.

Stop overloading a single agent. Stop overloading a single agent. Build specialized teams through conversation — each member owns a role, all work in parallel. Also supports Agent Swarm mode.

Build Teams by Talking

"Help me prepare next week's quarterly review" — automatically splits into data gathering, slide writing, and speech polishing roles. Each takes their part, works in parallel, delivers as one. No code, no config.

Persistent + Temporary, Elastic Teams

Long-term roles like brand consultants and risk reviewers stand by permanently, ready when needed. Temporary roles for quarterly reports or product research spin up on demand, dissolve when done. Elastic, like a real team.

Isolated Context, Higher Quality

Each member loads only the knowledge and context it needs — avoiding hallucinations and forgetting caused by overloaded context windows. Fewer tokens, higher accuracy, more reliable delivery.

Multi-agent collaboration — bid writing team Multi-agent collaboration — bid writing team

Real case: Multiple specialized agents collaborate — auto-split → parallel writing → review & format

USE CASES

From document writing to desktop automation.

Smart Documents

AI drafts, you review. Changes shown as diffs — accept or reject line by line. After learning your writing style, output increasingly matches your standards.

Email Hub

Gmail, Outlook, IMAP — unified inbox. AI categorizes, summarizes, drafts replies. Important outbound emails pause for your confirmation.

Agent Team

Quarterly reports, proposal writing, cross-department coordination — assemble a dedicated team with one sentence. Persistent roles guard quality, temporary roles sprint in parallel. Weeks of work compressed into days.

Scheduled Monitoring

Set data sources to watch. Your agent checks on schedule — notifies on changes, stays quiet otherwise. An always-on standby assistant.

Code Development

Local file system read/write, command execution, code search — a development environment with verifiable results, right in your familiar workspace.

Desktop Automation

Plugin-based control of computer and mobile GUI — opens apps, clicks buttons, fills forms, reads screenshots. Real-time task monitoring, timeout alerts, auto-reassignment on failure.

CASE STUDIES

Scenarios delivered by partners via AgentOS

Not demos — multi-agent solutions actively used by real customers

AI Bid Writing

Multiple agents decompose tender documents, auto-plan outlines, write chapters in parallel, run risk reviews, and format output. Weeks compressed to hours.

Multi-Agent

AI Copyright Docs

Automatically analyze source code structure and generate software copyright documentation. Code descriptions, feature specs, and user manuals in one go.

Document Automation

Power Trading Agent

Helps traders understand power trading policies, break down monthly reports and cross-platform data. Consolidates scattered information for informed trading decisions.

Policy Analysis + Data Insights

Contract Review Agent

Clause-by-clause contract review, identifying risks and missing items. Cross-references regulations and company templates, outputs structured audit reports.

Compliance + Risk

SOE Compliance Audit

Automated compliance checking against state-owned enterprise standards — policies, procedures, and reports reviewed with remediation suggestions.

Governance

Official Document Writer

Draft notices, requests, and reports following official formatting standards. Learns your organization's writing style over time.

Natural Language Teaching
Research Lead avatarBidding Manager avatarProcurement Director avatarProject Manager avatar
★★★★★
100+ Enterprise clients
CUSTOMER CASES

Voices from real customers

Industry leaders are already boosting efficiency with AgentOS

Authentic feedback on DesireCore from customers across industries

“Our lab has to screen hundreds of new papers every week — used to be all manual. Now we feed in keywords and directions, it auto-fetches, summarizes, categorizes, and highlights the most relevant passages. Literature review efficiency tripled at least.”
Research Lead avatar
Research Lead Top-tier University
“Power engineering tenders can be hundreds of pages. Just sorting out the requirements used to take days. Now it digests the document first, lists every point to respond to, then starts writing proposals and pricing. Missed qualifications? Basically doesn't happen anymore.”
Bidding Manager avatar
Bidding Manager Power & Energy Group
“What sold us was the transparency — you can see every step. It parses the tender first, then splits into technical proposal, pricing, and qualifications in parallel. If anything's off, you catch it right there and fix it.”
Procurement Director avatar
Procurement Director Renewable Energy Co.
“We used to pull all-nighters on bids. Now the first draft takes two hours. The time we saved goes into polishing the proposal and sharpening our bidding strategy — our win rate actually went up.”
Project Manager avatar
Project Manager Construction Company
“Contract review used to take legal two days per document. Now the system auto-checks against regulations and templates — ten minutes for a full audit report. Miss rate dropped from 15% to near zero.”
Compliance Lead avatar
Compliance Lead State-owned Enterprise
“Power trading policies change fast. We used to have people monitoring documents and platform data manually. Now it auto-aggregates and analyzes — traders can finally focus on decisions, not data wrangling.”
Trading Desk Lead avatar
Trading Desk Lead Power Trading Co.
“Official documents have strict formatting rules — it took new hires six months to learn. Now the system knows our writing style, drafts are fast and compliant, and revisions dropped 70%.”
Admin Office Director avatar
Admin Office Director Provincial Government
“Software copyright filings used to need both dev and docs teams, one week per application. Now it reads the source code and generates everything — six applications done in a single day.”
CTO avatar
CTO Software Dev Company

* 头像非真实头像,为 AIGC 生成,用于展现效果

SECURITY

Your data passes through no one.

Local First BYOK

All agent data stored on your machine. No cloud upload. Doesn't pass through our servers.

BYOK Mode

Connect to AI providers with your own API key. Conversations never route through us. Costs billed directly by providers, no markup.

Full Audit Trail Audit Trail

Automatic receipt after every task: actions taken, decisions made, changes recorded. Fully traceable, enterprise compliance ready.

AI Approval & Open API

Low-risk operations auto-approved by AI. Full API call audit trail. Open integration with email, code repos, and object storage. Enterprise compliance ready.

Security architecture — three-layer control

Security architecture: low-risk auto-approved → high-risk human review → dangerous actions blocked, fully traceable

MIGRATION

Migrate from OpenClaw.

DesireCore supports one-click import of OpenClaw agents and skills. Existing personalities, behavioral rules, and memory data migrate seamlessly — no reconfiguration needed.

1 Scan local OpenClaw installation
2 Select what to import
3 Done
Professional desktop app replaces messaging-app workflows
Three-layer security replaces basic permissions
Natural language teaching replaces manual file editing
Agent Team replaces single-agent work

FAQ

Get answers to common questions

DesireCore is an open Agent OS (Agent Operating System). Teach AI agents how you work using natural language, and let them autonomously plan and execute tasks. Available for macOS, Windows, and Linux.

DesireCore is a fully original product with independent intellectual property. From architecture design to core code, everything is built in-house — it has no relation to OpenClaw, the Claude SDK, Hermes, or any Harness: it is not a fork or modification of OpenClaw, not a wrapper around the Claude SDK, and not a rebrand of any open-source harness. Hermes Agent is focused on CLI/messaging access and skill-learning loops; DesireCore is an Agent OS spanning desktop and server, offering visual task orchestration, GUI automation, AgentFS file management, and a complete capability stack — an entirely different positioning and technology path. Our Agent scheduling engine, task orchestration system, and AgentFS are all built from the ground up. DesireCore supports multiple LLM providers (OpenAI, Claude, DeepSeek, etc.) and is not bound to any specific SDK or open-source project.

All major AI providers: OpenAI (GPT-4o, o1), Anthropic Claude, Google Gemini, DeepSeek, Qwen, Ollama local models, and more. Connect directly with your own API Key — no middleman.

All data is stored locally on your device — nothing is uploaded to our servers. API requests go directly to your chosen AI provider. Full audit logs make every action traceable.

ChatGPT is conversational AI; Coze/Dify are visual workflow tools. DesireCore uses delegative interaction — you teach it, it remembers, evolves, and executes autonomously. Supports multi-agent collaboration, AgentFS, desktop GUI automation, and more.

DesireCore supports one-click import from OpenClaw agents and skills. Your existing persona settings, behavior rules, and memory data can be seamlessly migrated without reconfiguration.

Train your first agent.

The OS is free forever, with built-in free compute*. Download and start now.

* Free compute is not a service commitment and may be paused due to partner capacity limits.