Code & Development · PyPI

agentic-experiments

Git-first, hypothesis-forcing experiment tracking for agent-driven ML research. Vendors Limina as the research harness, uses signac for local execution/run state, and bridges to W&B for remote observability.

Details

Author
Kaden McKeen
GitHub profile
@kadenmc
Category
Code & Development
Platform
PyPI
GitHub
https://github.com/kadenmc/agentic-experiments
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

Git-first, hypothesis-forcing experiment tracking for agent-driven ML research. Vendors Limina as the research harness, uses signac for local execution/run state, and bridges to W&B for remote observability.

Quick start

pip

pip install agentic-experiments

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

What agentic-experiments can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Autonomous — autonomous task automation.
  • Ai — ai task automation.
  • Agentic Ai — agentic-ai task automation.
  • Agents — agents task automation.

Frequently asked questions

What is agentic-experiments?
Git-first, hypothesis-forcing experiment tracking for agent-driven ML research. Vendors Limina as the research harness, uses signac for local execution/run state, and bridges to W&B for remote observability.
How do I install agentic-experiments?
Use pip: `pip install agentic-experiments`. Full setup details on the source page linked above.
Is agentic-experiments open source?
agentic-experiments is published on PyPI.
What are alternatives to agentic-experiments?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agentic-experiments is sourced from PyPI, published by Kaden McKeen.

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