kguru

An AI agent platform for Python with domain-specific knowledge capabilities.

Features

Agentic Framework: Reasoning loop with human-in-the-loop for intelligent problem-solving
Domain Learning: Learns from domain-specific knowledge and user feedback
Dynamic Knowledge Base: Build and assemble knowledge on the fly from structured, semi-structured, and semantic vector sources
Multi-Model Support: Works with various language models and vision language models

pip install kguru

Or with uv:

uv add kguru

import kguru

agent = kguru.Agent()

# Run the agent loop
result = agent.solve("Your problem here")

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for kguru 0.1.4
File	Size	Uploaded
kguru-0.1.4.tar.gz	219.4 kB	Nov 25, 2025	Details

Table of built distributions (wheels) for kguru 0.1.4
File	Interpreter	ABI	Platform	Reset
kguru-0.1.4-py3-none-any.whl 12.7 kB Nov 25, 2025	Python 3	none	any	Details

Total release size: 232.2 kB

Download URL	kguru-0.1.4.tar.gz
Size	219.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`697e5a7a36d42e6b3a34b7e82488daa016073f7dc578814e5aa7dca42993f02f`
BLAKE2b-256 checksum How to use checksums	`990f48c81a9b13d81fbe42202f15771f4ada0298e1e624a53649f89e148d666a`
Upload date	Nov 25, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.2`

Download URL	kguru-0.1.4-py3-none-any.whl
Size	12.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e0211f9474f0b4cda0a1b003c24c588d134b9b8434ffaf341beefa3dbd9a82ff`
BLAKE2b-256 checksum How to use checksums	`14c7ab773a495b80d7bd3849327ea602da4fa458f6a0894a46c5152da9688a46`
Upload date	Nov 25, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.2`