Security & compliance
Access control, approval for sensitive operations, and API auditing.
Original IP — not an OpenClaw fork, nor a Claude SDK wrapperDesktop Automation + Remote Control Now LiveMulti-Agent parallel collaboration, more done with lessAgentFS — Your data, always yours
DesireCore, Agentic Platform
for Real Business
AGENT OS
Teach Once, It Learns
Teach AI how you work. Let it execute and evolve.
Build your digital workforce.
Multi-Agent Mode: Team Collaboration, Parallel Execution
Requirements, solution design and delivery review run in parallel. The project lead reads their results and compiles a one-page customer follow-up brief.
Facts, pilot goals and open questions are listed clearly, with a draft for your review.
Try it now >Reliable Workflow: Codify SOPs, Stable Delivery
Reuse a customer follow-up workflow: check inputs, generate a brief and verify facts. Missing information produces a checklist; verified drafts wait for your approval.
Learn more >
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OPEN AGENTOS
Open AgentOS
Connect agents to your existing systems through an SDK or API.
The agent calls business APIs and returns results. You approve writes and notifications.
- Your system calls an agent
Submit a task via SDK / API and receive acceptance
- Agents call your systems
Query CRM and documents in parallel, then receive results
- Results return to your system
The draft and execution status return to the same application
Example task · Draft a follow-up email for Sample Customer A
Ready to playStart a task in the customer follow-up desk
The desk submits a task, the agent calls business APIs, and results return to the desk.
AgentOS
Customer follow-up assistantWaiting for a sample task
Existing application ↔ AgentOS
The desk submits a task via SDK / API. The agent calls business APIs, then returns the draft and status to the same desk.
One task, calls in both directionsCustomer follow-up email draftReady to play
Interactive example with sample customers, tasks and updates. Connections use authorized interfaces or tools.
CREATE & TEACH
Create agents in natural language.
Then teach them how to work.
Describe its role, working methods and boundaries.
Methods become Skills; business context becomes long-term memory.
Create a follow-up assistantInteractive example
SkillCustomer follow-up method
Query CRM → Read product docs → Draft → Wait for approval
Long-term memoryProduct and customer context
Inspection software · Factory maintenance teams
Automated scheduling
Scheduled tasks, event triggers and heartbeat checks; workflow orchestration and replay.
Asset ownership & portability
AgentFS manages configuration, Skills and memory, with export, migration and version control.
Build the ecosystem
ISVs and domain experts package capabilities for Agent Market, with own-brand and OEM delivery.
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.
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
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 Learn more →
Interaction
From Q&A to Active Learning
Memory
From Forgetting to Long-term
Execution
From Text to Action
Evolution
From Static to Growing
Control
From Black Box to Transparent
Ownership
From Platform to User
Chat AI
Automation Tools
DesireCore
Key Differentiator Matrix
| CoreToolSkillsMCPMultimodalSandBox | GUI ControlDesktopMobileRPAComputer UseMulti-device | MemoryLong-termCross-sessionAuto DreamLossless CompressionAuto-organize | EvolutionConversational LearningSkillsAgent Evolve | Multi-AgentSubAgentSwarmTeam ModeChat-createGroup Mode | AutomationWorkflowReplayCronDecision TreeEmail Mgmt | Long TasksBackground TasksParallel TrackingRecoveryControlled ExecCloud Deploy | SecurityAI ApprovalAPI AuditObservabilityPolicy ExecData Ownership | |
|---|---|---|---|---|---|---|---|---|
| DesireCore Agent OS | Complete | Desktop | Complete | Complete | Complete | Complete | Complete | Complete |
| OpenClaw-like Agent | Strong | Desktop | Weak | Weak | None | Mid | Mid | Weak |
| Coding CLI-like CLI | Strong | None | Mid | Weak | Partial | Weak | Partial | Weak |
| Dify/Coze/n8n-like Workflow | Strong | None | Weak | None | Weak | Strong | Partial | Strong |
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. 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.
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
Industry solutions built and validated with AgentOS
From source parsing to professional review, every step preserves provenance, evidence, review, and sign-off boundaries
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-AgentEngineering Drawing Parsing & Design Review
Turn multi-page P&IDs into structured facts tied to page, coordinates, and revision. Extract equipment, lines, instruments, topology, and loops; once baselines are frozen, produce traceable findings for engineer review and sign-off.
Drawing Assets + Design ReviewInspection Report Generation & Review
Read radiation and environmental test records, standards, and templates to assist occupational hazard reporting. Check limits, units, citations, conclusions, and consistency, with every exception traceable to source evidence.
Report Generation + Data ReviewMedical Literature Evidence Knowledge Base
Collect literature through authorized academic platforms, parse full text, and apply configurable GRADE-based scoring across source, author, and content. Supports translated summaries, semantic search, traceable citations, and report generation.
Evidence Grading + Traceable Q&AAI Copyright Docs
Automatically analyze source code structure and generate software copyright documentation. Code descriptions, feature specs, and user manuals in one go.
Document AutomationPower 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 InsightsContract Review Agent
Clause-by-clause contract review, identifying risks and missing items. Cross-references regulations and company templates, outputs structured audit reports.
Compliance + RiskSOE Compliance Audit
Automated compliance checking against state-owned enterprise standards — policies, procedures, and reports reviewed with remediation suggestions.
GovernanceOfficial Document Writer
Draft notices, requests, and reports following official formatting standards. Learns your organization's writing style over time.
Natural Language Teaching* Engineering design, occupational health, and inspection results require review and sign-off by appropriately qualified professionals.
Explore all use cases and review boundaries →
★★★★★
100+ Enterprise clients 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 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 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 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 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 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 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 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 Software Dev Company
* Avatars are AI-generated for presentation purposes and do not depict real customers.
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
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: 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.
