AI Infrastructure · PyPI

agentdog

Lightweight evaluation toolkit for AI agents — test tool use, grounding, safety, and efficiency before production

Details

Author
Sai Teja Erukude
GitHub profile
@SaiTeja-Erukude
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/SaiTeja-Erukude/agentdog
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-28
Last active
Directory sync
2026-05-28

Overview

Lightweight evaluation toolkit for AI agents — test tool use, grounding, safety, and efficiency before production

Quick start

pip

pip install agentdog

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

What agentdog can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Tool Use — Orchestrates external tools to complete tasks.
  • Ai — ai task automation.

Frequently asked questions

What is agentdog?
Lightweight evaluation toolkit for AI agents — test tool use, grounding, safety, and efficiency before production
How do I install agentdog?
Use pip: `pip install agentdog`. Full setup details on the source page linked above.
Is agentdog open source?
agentdog is published on PyPI.
What are alternatives to agentdog?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agentdog is sourced from PyPI, published by Sai Teja Erukude.

Last scraped: · First indexed:

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