Multiple model families
Use one service surface to discover models for generation, reasoning and retrieval instead of binding every product decision to one vendor.
Shanghai Seii.top Technology · AI infrastructure & agents
Build useful AI agents.
Build useful AI agents.
Choose the right model.
We bring agent software and model access together: InnoAgent provides the open-source agent experience; InnoSpark provides a practical path to model APIs and token services.
Model choiceOne marketplace, multiple model families
Open agentMIT-licensed and locally deployable
Your workflowOpenAI- and Anthropic-compatible endpoints
seii.ai / connected stackready
OPEN-SOURCE AGENT
InnoAgent
Memory · Wiki · Scheduler · Practice Lab
compatible API↓
MODEL & TOKEN SERVICE
InnoSpark
Model marketplace · Access · Usage
route by task↓
GPTClaudeGeminiDeepSeekBGE
Keep the agent. Change the model when the work changes.
Agent + model accessPay-as-you-go pathLocal-first optionOpen ecosystem
InnoSpark · model marketplace
Support for different models is the point.
Reasoning, fast interaction, multimodal work and embedding do not need the same model. InnoSpark gives teams a visible place to compare available models and choose by task.
Token access that fits usage
Start from visible model and usage information. Shanghai Seii.top Technology is extending this foundation into practical token access and service support.
Compatible integration paths
Connect agent applications through OpenAI- or Anthropic-compatible provider configuration and keep model choice replaceable.
InnoAgent · open-source personal learning agent
An agent that remembers the learning process—not only the last prompt.
InnoAgent organizes learner profile, knowledge Wiki, session recall, proactive review and hands-on practice into one long-running learning loop. It can run locally and connect to replaceable model providers.
Open learner profile
Goals, knowledge state, misconceptions and preferences stay visible, correctable and evidence-based.
Native knowledge Wiki
PDF, Office, image and text sources become maintainable pages with traceable origins and graph relationships.
Session recall
Recent conversations and tool traces support continuity without mixing temporary chat into long-term knowledge.
Proactive scheduler
Reviews, profile reflection, knowledge updates and custom tasks can move learning forward on a schedule.
Practice Lab
Generate exercises, run them in the workspace and continue from real output and errors in the next turn.
Local and replaceable
Desktop, Web and terminal modes share local runtime state while provider configuration keeps models replaceable.
One connected service path
From model choice to an agent that does useful work.
Shanghai Seii.top Technology connects the parts that teams otherwise have to assemble alone.
Built around real AI work
Supporting products from Shanghai Seii.top Technology.
01
LoopBoard
Agent-native product, project and QA management with traceable records and evidence-based status.
02Document Compliance
Transform internal material into reviewable professional documents while preserving facts and checking disclosure risk.
03CaptureX / CaptureW
Capture, organize and retain owned knowledge through web, desktop and Git-backed workflows.
Start with the part you need
Models, tokens and an open agent—connected.
Explore live model options, run InnoAgent from source, or talk with Shanghai Seii.top Technology about an integration.