# OpenBMB/StaffDeck

Enterprise Digital Employee Platform

Repository: https://github.com/OpenBMB/StaffDeck
Canonical: https://ross.abutalabs.com/products/staffdeck
Homepage: http://staffdeck.openbmb.cn/
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-26T15:45:47+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 3
- inputs: {"age_days": 51, "days_push": 7, "days_rel": 7, "gap_med": 1.0, "n_releases_24m": 21}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1763, forks 302 (observed 2026-08-28T04:05:32.715583+00:00)

## What it is
StaffDeck is an open-source enterprise platform for building and managing AI-powered digital employees that codify professional experience, business processes, and decision criteria into continuously operating agents. It features state-machine-driven SOP execution, document-structure-aware knowledge retrieval, permission isolation, and multi-staff cooperation.

## Use cases
- build digital employees that automate repetitive business tasks
- turn team SOPs into executable AI workflows
- create AI agents with role-based permissions and work records
- index enterprise documents for structure-aware knowledge retrieval
- preserve employee expertise as reusable organizational assets
- run multiple AI staff members cooperating on tasks

## When to choose
- you want a self-hosted enterprise platform for role-based AI agents
- your workflows follow structured SOPs that benefit from state-machine execution
- you need to encode organizational knowledge into reusable digital employees
- you want permission isolation and traceable work records for AI agents

## When to avoid
- you need a simple single-agent chatbot without organizational structure
- you require a fully managed SaaS rather than self-hosted deployment
- your use case is personal productivity rather than enterprise process automation
- AGPL-3.0 licensing is incompatible with your distribution plans

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, rag, workflow-automation, chatbot, llm-inference
- domain: large-language-models, erp, self-hosted
- platform: python, self-hosted
- tags: digital-employees, sop-automation, knowledge-retrieval, enterprise-ai, state-machine, ai-agents, automation, docker, web-server

## Member repositories
- OpenBMB/StaffDeck (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.715583+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:26:44.967654+00:00, confidence not recorded.
  - readme: https://github.com/OpenBMB/StaffDeck (fetched 2026-08-28T04:05:32.715583+00:00, sha c2a2271c6b5d)
  - homepage: http://staffdeck.openbmb.cn/ (fetched 2026-08-29T11:05:05.384824+00:00, sha f92b0e08d16b)
- Data as of 2026-08-30T08:39:29.467469+00:00.