YituClaw
Enterprise AI Agent Management & Operations Platform
YituClaw is an enterprise-grade AI Agent management and operations SaaS platform. It enables businesses to deploy multiple AI agent runtimes with one click, providing unified usage billing, instance monitoring, admin management, and payment systems — giving enterprises rapid access to AI Agent capabilities.
Multi-Runtime Support
Choose the best Agent runtime for your scenario
OpenClaw
Multi-tool orchestration Agent with browser, file, API tool support
Hermes
ChatGPT-like conversational interface with file sharing and multi-turn dialogue
Claude Code
Terminal-style coding Agent, ideal for development scenarios
How It Works
Choose a Plan
Select from Personal, Professional, Team, or Enterprise plans based on your needs
Create an Instance
Choose an LLM model and runtime type — the system automatically deploys a Docker container
Chat with Your Agent
Interact with your AI Agent via chat, terminal, or control panel to accomplish tasks
Features
From deployment to operations, billing to distribution — YituClaw provides full lifecycle Agent management
One-Click Deploy
Create AI Agent instances in seconds — no infrastructure setup needed, automatic Docker containerization and network configuration
Multi-Runtime Support
Supports OpenClaw, Claude Code, Hermes and more runtimes simultaneously — choose what fits your needs
Token-Level Billing
Separate pricing for input/output tokens across 14+ LLM providers, with independent per-model pricing
Real-Time Monitoring
CPU/memory/disk usage, Docker container status, system alerts — comprehensive operations monitoring
Agent Distribution
Users upgrade to agents and get exclusive invite codes — earn commission from referred users' consumption
Sandbox Isolation
Each Agent instance runs in an isolated Docker container with audit logs and multi-level permission management
Multiple Interfaces
Chat interface, terminal, and web control panel — automatically selects the best UI for each runtime
Flexible Payments
WeChat Pay / Alipay QR top-ups, Stripe credit card subscriptions, prepaid balance with real-time deduction
Sandbox Isolation
Each Agent instance runs in an independent Docker container with runtime-level security isolation
Full Monitoring
Real-time CPU/memory/disk monitoring, Docker status tracking, and timely system alerts
Batch Operations
Batch start/stop/restart/image upgrades with pre-checks, rolling updates, health checks, and rollbacks
FAQ
Operating AI Agents is not just 'getting a demo to run'
YituClaw is for teams that already know AI Agents are useful and now need them running in production. We provide multi-runtime deployment (OpenClaw, Claude Code, Hermes), token-level billing, instance monitoring, RBAC, agent distribution, and full payment channels (WeChat/Alipay/Stripe) — so a company doesn't spend 6 engineer-months building an Agent operations control plane. Docker sandbox isolation + Kubernetes orchestration underneath; a unified session/account/billing/audit view on top.
Three real scenarios
Situation · Wants to ship an AI Assistant feature to customers without owning K8s, model gateway, or billing.
Outcome · On YituClaw, one click connects 14+ LLMs, brands the surface, spins up an instance in 30 seconds; token usage bills back to the customer's account with API-accessible reports.
Situation · Multiple departments want private Claude Code but source code cannot leave the network and each department shouldn't build its own stack.
Outcome · IT enables an enterprise tenant, spins instances per department/project, each mounts private Git and a self-hosted code model; monitoring and cost per team is one dashboard.
Situation · Wants to resell AI Agent capability to SMBs without hosting or capital outlay.
Outcome · Upgrade to distribution agent inside YituClaw, get a referral code, earn commission when referred users purchase or subscribe — settlement and receipts handled by the platform.
Performance and scale
OpenAI / Anthropic / DeepSeek / Qwen / Doubao / MiniMax / OpenRouter and more
From click to a chattable Agent, includes Docker pull and config
Concurrent live Agents on the platform today
12-month rolling production average
Input/output priced separately, deducted in real time
Docker namespaces + seccomp policy, quotas independent
How we compare
Instances, sessions, billing, monitoring, audit, payment — the operations skeleton.
Only raw API + invoice; you still write 30 back-office features before shipping.
Takeaway · APIs are ingredients; Claw is the assembly line.
SaaS or on-prem, agent distribution and payment channels included.
OSS self-host; K8s, observability, billing, payments, SLA all on you.
Takeaway · OSS suits engineer-heavy teams; Claw suits product-and-revenue teams.
Multi-model, multi-cloud, no lock-in; enterprise RBAC and distribution built in.
Usually bound to one cloud and one model family; commercialization pieces missing.
Takeaway · For 'diverse models, independent supply chain' strategy, Claw is the fit.
Deeper details
What multi-runtime means
OpenClaw handles tool-orchestration tasks (running a data-analytics pipeline end-to-end). Hermes handles conversation-as-product formats (support, sales assistants, internal QA). Claude Code handles terminal-native coding (engineering, SRE, DevOps). They share account, billing, audit, monitoring — UI and protocols auto-switch.
How token billing actually flows
Input and output tokens billed separately, granularity ¥0.001 per 1K tokens; plan quota first, overage debits prepaid balance. Admins see a 4D chart — model × user × instance × day — with thresholds, auto-pause, and alerts. This ledger is directly usable for internal chargeback, external resale, or distribution-agent commission.
Security and compliance
Each Agent instance runs in an isolated Docker container with network/filesystem namespaces; platform side uses JWT + RBAC + CSP + HTTPS everywhere. All key actions (file IO, external calls, command execution) are audited. On-prem customers can enable VPC egress allowlists, restricting the Agent's networking surface to approved domains — meets GB/T 22239 level 3 and financial compliance.
From trial to scale
Solo devs start on Free, deploy an instance in 10 minutes; teams upgrade to Team plan, add SSO and usage reports; enterprises sign for on-prem and get a dedicated K8s cluster plus CSM within two weeks; for reselling, the 'upgrade → invite code → invited-user purchase' loop is native.
Deploy Your First AI Agent in 30 Seconds
No infrastructure ops needed — one-click to launch enterprise-grade AI Agent services