StaffDeck is an open-source enterprise platform that lets organizations turn professional expertise, business processes, and decision criteria into digital employees with procedural skills, knowledge retrieval, and autonomous execution.

Stars

1,095

7-day growth

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Forks

180

Open issues

4

License

AGPL-3.0

Last updated

2026-07-28

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It introduces a state-machine-driven approach to execute structured SOPs from natural language and a document-structure-aware retrieval method, enabling digital employees to locate information step by step—a novel combination that goes beyond typical chatbot or RAG frameworks.

Who it is for

  • Enterprises and institutions seeking to scale AI from personal productivity to organizational capability
  • Developers and AI engineers building custom digital employee workflows
  • Workflow automation teams needing continuous, auditable task execution
  • Channel managers who want to deploy AI employees on WeChat or WeCom

Use cases

  • Automating repetitive business processes such as data entry, ticketing, or compliance checks
  • Preserving and reusing expert knowledge as evolvable digital employees
  • Running continuous 24/7 operations with scheduled tasks and human handoff
  • Integrating digital employees into customer-facing IM channels for support and triage

Strengths

  • State-machine-driven SOP execution with visual editing, version management, and real-time context preservation
  • Document-structure-aware knowledge retrieval that indexes across chapters, pages, and summaries for accurate source location
  • Autonomous execution via HTTP APIs, MCP, and scheduled tasks with long-term memory and feedback loops
  • Open-source (AGPL-3.0) with active community and backing from multiple research and industry groups

Considerations

  • Model responses can be incorrect or inconsistent; execution records improve auditability but not correctness
  • Knowledge retrieval quality heavily depends on source document quality, parsing, and permissions
  • External tools and generated runners can have real side effects; not suitable for regulated fields without additional safeguards

README quick start

Quick Start

Description

Enterprise Digital Employee Platform

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