Qixiaomiao Agent · AI Research Workspace for Social Science
Spend fewer tokens on trial and error
Full support for literature, data preparation, analysis, visualization, knowledge graphs, and academic writing. Specialized subagents collaborate, each equipped with dedicated Skills and professional tools.
Fewer wasted tokens
Full workflow
Built-in professional tools
Project FilesSubagentsChat Panel
Product comparison
How is QiyanAgent different from a general-purpose AI agent?
Compared with general-purpose agents such as WorkBuddy, Codex, and Claude, QiyanAgent pre-organizes the professional Skills, statistical tools, and workflow required for empirical research. That means less setup, less repeated explanation, and less workflow assembly before the research starts.
Product comparison between QiyanAgent and general-purpose AI agents
Dimension
QiyanAgentEmpirical research agent
General AI agentsWorkBuddy, Codex, Claude, and others
Positioning
✓Purpose-built for empirical research in the social sciences and business
Broad office, content, or software-engineering scenarios
Best for
✓Research tasks that call specialized capabilities across the full workflow
Flexible general tasks; specialized research workflows require assembly
Research readiness
✓Professional Skills are preconfigured and ready when a project opens
Skills, tools, and research context must be added for each task
Research workflow
✓A main agent coordinates specialized subagents by research stage
Users must break down the task and design the execution flow
Research tools
✓Supports workflows using Stata, R, Python, and DuckDB
Tools must be found, configured, and connected separately
Getting started
✓Describe the research goal, then review the process and results
Set up the environment, tools, methods, and background first
Dedicated Skills and tools reduce trial and error, so more tokens go toward research
Fewer tokensFaster startBuilt for empirical research
Videos
Watch real workflows.
See API setup, data collection, visualization, Agent Skills, version demos, and a short product film.
V2.2
Introducing QiyanAgent
Explore QiyanAgent's core interface and complete research workflow.
Film
I gave researchers an AI Agent team.
A short product film showing how QiyanAgent organizes a multi-Agent research workflow.
Visual
Data visualization subagent demo
Use the visualization subagent to prepare charts and organize presentation-ready results.
Setup
Configure a DeepSeek API key
Connect QiyanAgent to the model API by setting the DeepSeek API key.
Collect
Data collection subagent demo
Use the data collection subagent to gather public data resources.
V2.0
QiyanAgent 2.0 introduction
Multi-Agent collaboration for reproducing classic economics papers.
Skills
Agent Skills introduction
Turn repeated procedures into Skills to improve Agent task accuracy.
V1.0
QiyanAgent 1.0 introduction
AI Agents use professional data tools to handle large datasets in a desktop workflow.
News
Follow QiyanAgent updates
Product capabilities, research workflows, and large-scale data analysis notes
