Crafting
AI agents for your business
Built on the Harness Engineering methodology: an operable, governable, continuously evolving on-premise agent system. Your data never leaves your domain, and you keep full control.
Adopting LLMs is an engineering and governance problem
Bringing LLMs into the enterprise is not about wiring up an API — it is about building a system you can produce, operate and control. AgentSteamer starts from the four sharpest pain points.
01Not enough self-sovereignty
Comparable products are vendor-led, making it hard to tailor finely to your own business.
Our SolutionFull-chain self-building from creation and orchestration to operations — control stays with you.
02Data-security concerns
Private data leaves the premises, artifacts are unmanaged and sessions untraceable — high compliance risk.
Our SolutionFull on-premise deployment keeps knowledge bases and artifacts inside your company at all times.
03No governance system
Agents are configured ad hoc — delivered once, hard to reuse, impossible to keep operating.
Our SolutionHarness Engineering governs nine core asset types for standardized production and continuous operations.
04Uncontrollable cost
Big vendors mostly bill by public-cloud seats plus credits: complex rules, unpredictable cost; on-premise deployment is expensive and out of reach for many.
Our SolutionAgentSteamer is on-premise by design: even the License subscription runs inside your company at very low cost, with no third-party Token fees and support for self-hosted models.
Why AgentSteamer
On-premise, data never leaves
Full on-premise deployment keeps knowledge bases, artifacts and sessions inside your company — you get both decision-making autonomy and data security, meeting compliance requirements.
Self-built by your team
Create agents, orchestrate workflows and customize memory and approval flows, free from vendor lock-in.
Harness Engineering governance
Govern agents, skills, workflows, prompts, memory and artifacts as one asset base for standardized production.
Open ecosystem
Compatible with the Agent Skills spec and mainstream MCP protocols for seamless access to common skills and tools.
Flexible billing
Choose a License subscription or a one-time package — on demand, cost-controlled, high value.
Full-lifecycle loop
A complete loop from creation and orchestration to testing, publishing and operations governance — all delivered and usable.
Integrated low-code apps
Fixes the pain of consumer-style agents with no usable UI: AI-assisted low-code apps cut low-code learning effort by ~80%.
Make agents an engineering discipline, not a pile of tools
Around the production, operation and governance of agents, nine core objects are managed as one, so every build becomes a reusable enterprise asset.
Layered and decoupled, pluggable capabilities
A layered architecture with four decoupled layers, each evolving independently and composed on demand.
One platform, end to end
From chat to orchestration, knowledge to memory, execution to governance — eight modules form a complete loop.
Agent chat
A unified task entry point that calls a single Master or schedules the Master Circle. Supports skills and MCP, document upload and parsing, model and thinking-effort selection — all executed in an isolated sandbox, fully separate from the host environment.
Master · Master Circle (visual orchestration)
Visual orchestration covers LLM calls, knowledge retrieval, code execution, document parsing, human review, AI review and more. Build Master agents yourself and invite several to the Master Circle — versions governed, data observable and traceable.
Knowledge base
Vector, full-text and knowledge-graph models with custom-weight hybrid retrieval, built-in BGE-M3 and reranking, and concurrent multi-path document processing.
Prompt library
Share and version prompts inside the company, with parameterized configuration and one-click trial runs, turning good practice into team assets.
Skills & MCP marketplace
Progressive skill disclosure and multiple MCP connections, compatible with the common skill ecosystem, plus custom skill development.
Artifact repository
Centralized management of documents, decks, reports and images produced by agents — managed, controllable, previewable, traceable.
Smart memory
Short, medium and long-term memory with automatic user profiling; strategies support multi-level inheritance, balancing memory quality with privacy compliance.
AgentOps
Agent calls are observable, measurable and auditable, with model-usage dashboards and multi-dimensional rankings to support governance decisions.
Every conversation backed by memory and safety
Opening a session auto-injects history; closing it distills core memory. Skills and MCP tools are always at hand, and execution stays in an isolated sandbox.
- Call one Master or intelligently schedule the Master Circle for complex tasks
- Skills, MCP tools and document upload/parsing, executed in one place
- Choose model and thinking effort to balance quality and cost per task
- Sandboxed execution fully isolated from the host environment
Multiple Masters on one canvas orchestrate your business flow
The Master Circle is multi-agent collaboration. A primary agent routes dynamically to specialist sub-agents by intent, complex flows are orchestrated automatically, and outputs converge.
Enterprise knowledge, fed to agents the right way
Vector, full-text and knowledge-graph models with weighted triple hybrid retrieval turn enterprise documents into high-quality knowledge assets.
Every call observable, measurable and auditable
Model-usage dashboards and multi-dimensional rankings make agent operation instantly clear and back operations decisions with data.
Compliant, controllable, operable
For enterprise control scenarios, governance covers three dimensions: security & compliance, quality & operations, and platform assurance.
Security & compliance SECURITY
Quality & operations QUALITY
Platform assurance STABILITY
From finance to operations, scenarios go live fast
Expense review
Combining workflow orchestration, knowledge retrieval, rule checks and document recognition to build an automated review agent that lifts finance efficiency and compliance.
Data query
LLMs understand business users' natural-language needs and call data APIs precisely, turning complex semantics into executable requests.
Content generation & delivery
Sandbox execution, text generation and flow orchestration turn content into many forms for marketing, training, support and operations.
Multi-agent collaboration
The orchestrator composes multiple published agents and routes by intent for automated collaboration across complex flows.
Choose by company size
From startups to large enterprises, there is a deployment shape for every stage. All plans support on-premise deployment with data staying on your premises.
AgentStove MaaS gateway
Centralize large-model API routing and manage API keys for your team, with call monitoring, auditing and dashboard reporting.
Starter
Up to 30 seats
- Managed vector database
- Standard SLA · 48h response
- Community + ticket support
- Unlimited agents / workflows
Growth
30–99 seats
- Managed vector database
- Low-code app builder
- 24h ticket response
- Unlimited agents / workflows
Enterprise
100+ seats
- Dedicated vector DB + graph augmentation
- 7×24 SLA
- On-site FDE engineer*
- Unlimited agents / workflows
Custom Agent Development
Project-based engagement
- Custom skills & MCP connectors
- System integration
- On-site FDE engineer*
- Dedicated project team
Buy once, own it long-term
For customers with budget and a preference for asset ownership. All flagship features included, plus 1 year of dedicated service, SLA and on-site deployment.
- Dedicated vector DB + graph augmentation
- 7×24 SLA
- On-site FDE engineer*
- Unlimited agents / workflows
- On-premise deployment · free remote · on-site available
*On-site FDE engineer is billed separately — please contact sales. On-site FDE service is available only in Chinese mainland, Hong Kong and Macau.
About AgentSteamer
Direct answers to what enterprises and teams ask most; request a demo for more detail.
What is AgentSteamer?
AgentSteamer is an enterprise AI agent platform by Shanghai Immersivalley Information Technology Co., Ltd. Built around Agent-as-a-Service, it covers the full lifecycle from creation, visual orchestration and testing to publishing and operations governance, letting enterprises standardize and continuously operate AI agents.
Does AgentSteamer support on-premise deployment?
Yes. Full on-premise deployment is supported; knowledge bases, artifacts and sessions stay inside your company and data never leaves your domain, meeting enterprise security and compliance requirements.
Which large models does AgentSteamer support?
AgentSteamer is model-agnostic. Through an OpenAI-compatible API you can connect OpenAI, Azure, DeepSeek, Qwen, Ollama, vLLM and other mainstream models, with built-in BGE-M3 embeddings and BGE-Reranker-v2-m3 reranking.
Does AgentSteamer support multi-agent collaboration?
Yes. The Orchestrator composes multiple published agents; a primary agent routes dynamically to specialist sub-agents by intent, automating complex business flows.
How does the platform ensure data security and compliance?
The platform provides full on-premise deployment, isolated sandbox execution, RBAC across 11 resource types × 10 operations, content moderation, audit logs and webhooks — observable, measurable and auditable throughout.
How can I request a demo or get the product brief?
Leave your name, work email and a short requirement in the "Request a demo" form below; a product consultant will contact you within 1 business day, or download the product brief directly. We also provide deployment, custom skills and operations support.
Fire up your first agents
From creation to operations, fully under your control. Let AI agents become a continuously evolving productivity engine for your business.
Tell us a little about your needs
Leave your contact details and a short scenario summary. Our product consultant will reach out within 1 business day to discuss on-premise deployment, plan selection or custom development.
- A 30-minute 1:1 product demo covering architecture, deployment and pricing
- Implementation advice and a pilot plan tailored to your scenario
- Full copies of the product brief and technical whitepaper