Content & Writing · PyPI

open-agent-traces

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility

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Details

Author
Julien Simon
GitHub profile
@juliensimon
Category
Content & Writing
Platform
PyPI
GitHub
https://github.com/juliensimon/ocel-generator
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@juliensimon

Overview

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility

Quick start

pip

pip install open-agent-traces

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What open-agent-traces can do

agentllmmulti-agenttool-useai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Multi Agent — multi-agent task automation.
  • Tool Use — Orchestrates external tools to complete tasks.
  • Ai — ai task automation.

Frequently asked questions

What is open-agent-traces?
Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility
How do I install open-agent-traces?
Use pip: `pip install open-agent-traces`. Full setup details on the source page linked above.
Is open-agent-traces open source?
open-agent-traces is published on PyPI.
What are alternatives to open-agent-traces?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for open-agent-traces is sourced from PyPI, published by Julien Simon.

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