juliensimon/ocel-generator

Generate realistic multi-agent workflow traces with LLM-enriched content. pip install open-agent-traces

39
/ 100
Emerging

This tool helps professionals who need to understand or improve complex automated workflows, especially those involving multiple AI agents and human handoffs. It generates realistic, detailed activity logs (traces) that show how tasks like customer support triage or incident response unfold, including what goes in, what comes out, and which agents and tools are involved. The output is a structured log that can be used for analysis or testing.

Use this if you need to create realistic, labeled data to test AI agent systems, build observability dashboards, or analyze multi-agent business processes using process mining techniques.

Not ideal if you're looking for a tool to deploy or manage live AI agent systems, or if your primary need is to collect data from real-world operational systems rather than simulate them.

process-mining agent-observability workflow-simulation AI-testing business-process-analysis
No Package No Dependents
Maintenance 13 / 25
Adoption 3 / 25
Maturity 11 / 25
Community 12 / 25

How are scores calculated?

Stars

4

Forks

1

Language

Python

License

MIT

Category

multi-agent

Last pushed

Apr 04, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/agents/juliensimon/ocel-generator"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.