AI Agent Deployment Solution
One-click deploy enterprise-grade AI Agents — make AI every employee's super assistant
Core Advantages
Zero-Ops Deployment
No server, Docker, or network management needed — the system handles all infrastructure automatically
Elastic Scaling
Create or release Agent instances on demand for maximum resource utilization
Cost Control
Token-level granular billing with prepaid model — costs are fully transparent and controllable
Secure Isolation
Each Agent runs in an independent Docker sandbox with full audit logging
Use Cases
FAQ
Cross the last mile from 'Agent demo' to 'production'
Plenty of teams have proven AI Agents can write code, generate weekly reports, or answer users. The gap between 'demo works' and 'thousands of users served reliably' is a wall of infrastructure: Docker orchestration, model gateways, token billing, permission auditing, SLA monitoring, payments. Our AI Agent deployment solution is the bridge. Your team focuses on what the Agent should do; the platform handles the rest — multi-runtime, multi-model, multi-tenant, multi-channel, one console. 30-second instance creation, token-based billing, no upfront infrastructure spend.
Three real scenarios
Situation · Wants to give customers an AI Assistant without owning K8s, model gateway, or billing, and without locking to one model vendor.
Outcome · YituClaw connects 14+ LLMs in one click, brand-wraps the surface, spins an instance in 30 seconds; token usage bills to the customer's account with reports API-accessible.
Situation · Multiple departments want private Claude Code but source cannot leave the network; each shouldn't run its own stack.
Outcome · IT enables an enterprise tenant, spins instances per department/project with private Git and self-hosted code model; monitoring and cost per team is one screen.
Situation · Editors and marketers want an AI Assistant for writing, translation, summaries, socials — but need token control and compliance filtering.
Outcome · Hermes runtime on YituClaw; per-user instances with token budgets and compliance filters set centrally; editors use it as naturally as a doc-collab tool.
Performance and scale
OpenAI / Anthropic / DeepSeek / Qwen / Doubao / MiniMax / OpenRouter etc.
From click to chattable Agent, includes Docker pull
Concurrent live Agents on the platform today
12-month rolling production
Input/output priced separately, real-time deduction
Independent namespaces and seccomp
How we compare
Instances, sessions, billing, monitoring, audit, payments — the operations skeleton.
Raw API + invoice; you still write 30 back-office features.
Takeaway · APIs are ingredients; Claw is the assembly line.
SaaS or on-prem, distribution and payments included.
OSS; K8s, observability, billing, payments all on you.
Takeaway · OSS for engineer-heavy teams, Claw for product-and-revenue teams.
Multi-cloud, multi-model, no lock-in; enterprise RBAC and distribution native.
Bound to one cloud and one model family; commercialization missing.
Takeaway · Diverse-models, independent-supply-chain strategy fits Claw.
Deeper details
Choosing a runtime
OpenClaw for multi-tool orchestration (running analytics pipelines, calling external APIs, generating reports). Hermes for conversation-as-product (support, sales assistants, internal QA). Claude Code for terminal-native coding (engineering, SRE, DevOps). Shared account/billing/audit; UI and protocol auto-switch per runtime.
Using the token ledger
Admin dashboard shows model × user × instance × day with thresholds, auto-pause, and alerts. This ledger is directly usable for internal chargeback, external resale, or agent-distribution commissions — no need to build a second billing layer. Enterprises can set 'budget + overage cap' per department.
Security and compliance
Each instance runs in an isolated Docker container; platform runs JWT + RBAC + CSP + HTTPS end-to-end; key actions fully audited. On-prem customers can enable VPC egress allowlists to restrict Agent networking to approved domains — meets GB/T 22239 level 3 and financial-sector requirements.
From trial to scale
Solo Free plan deploys the first instance in 10 minutes; Team plan adds SSO and usage reports; enterprise on-prem contracts get a dedicated K8s cluster and CSM within two weeks. For distribution, upgrade → invite code → invited-user purchase — commissions and settlement handled by the platform.
Deploy Your First AI Agent
Create in 30 seconds, pay as you go, zero maintenance