agentscope-ai / QwenPaw-Data
Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host)
Why this job: works in the areas we cover, but does not say which job it does
What it does
Enterprise data analysis is becoming a distinct frontier for autonomous agents. It operates in an open, ambiguous, and continuously evolving environment: business concepts must be grounded to the right entities, analytical procedures must be reproducible despite fuzzy feedback, and long-horizon workflows must execute over real enterprise data while preserving artifacts, provenance, and opportunities for human intervention.
Get started
pip install qwenpaw-data-cli
# `qwenpaw-data` command + host runtime
pip install qwenpaw-data-context
# DataBridge backend as a library
pip install qwenpaw-data-console
# Chat and DataBridge UIs + local API gatewayYou need: Node.js 22.22 or newer on the Node 22 LTS line, and npm; Docker Desktop or Docker Engine with Docker Compose
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 196
- +6 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.3.4
- Released 6 days ago
- Built with
- Python
- 78% of the code
Is it looked after?
- Contributors
- 7
- Last 90 days
- Issues
- 80% closed
- 1 still open
- Pull requests
- 70 merged
- 4 waiting
- Releases
- 10
- 10 in the last year
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More: languages, topics and project record
Languages
- Python 78%
- TypeScript 18%
- Less 3%
- Shell <1%
Topics
- ai-agents
- data-agent
- data-analysis
- knowledge-graph
- llm
- python
- semantic-layer
- text-to-sql
Project record
- JobOther AI tools
- StatusListed
- Commits97
- Forks42
- Watching1
- Stars in 28 days+61
- CreatedJul 13, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026