Shanghai Seii.top Technology · AI infrastructure & agents

Build useful AI agents.
Choose the right model.

Start with InnoCoworker, our latest and top recommendation for team AI collaboration. Alongside InnoAgent for personal learning and InnoSpark for model access, it forms our three core products.

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

Three core products

Team collaboration, personal agents and model access — choose where to start.

Latest · Top recommendation

InnoCoworker

Turn shared knowledge into coordinated work.

An AI collaboration workspace for teams. Bring project discussions, source materials and knowledge together, and move work forward with a shared context.

Team workspaces

Organize members, projects and shared materials in dedicated spaces.

Knowledge with sources

Collect project materials, organize knowledge and return to the original sources.

Project collaboration

Connect group discussions and project context through Feishu / Lark collaboration.

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.

InnoSpark model marketplace showing model cards from multiple providers
A real view of the InnoSpark model marketplace. Available models and prices may change; use the live marketplace for current information.Swipe to inspect the model list
01

Multiple model families

Use one service surface to discover models for generation, reasoning and retrieval instead of binding every product decision to one vendor.

02

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.

03

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.

L1

Open learner profile

Goals, knowledge state, misconceptions and preferences stay visible, correctable and evidence-based.

L2

Native knowledge Wiki

PDF, Office, image and text sources become maintainable pages with traceable origins and graph relationships.

L3

Session recall

Recent conversations and tool traces support continuity without mixing temporary chat into long-term knowledge.

S

Proactive scheduler

Reviews, profile reflection, knowledge updates and custom tasks can move learning forward on a schedule.

P

Practice Lab

Generate exercises, run them in the workspace and continue from real output and errors in the next turn.

D

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.

01Choose a modelCompare available model families in InnoSpark.
02Connect API and tokensConfigure a compatible provider path for the workload.
03Run InnoAgentUse the model inside a memory, knowledge and practice loop.
04Keep controlKeep data local when needed and change providers as needs evolve.
Start with the part you need

Team collaboration, agents and model access.

Start with InnoCoworker, explore InnoAgent or choose models through InnoSpark.