AI Infrastructure · PyPI

turboagent-ai

TurboQuant-powered agentic AI framework for long-context LLMs on consumer hardware

Details

Author
TurboAgent Contributors
GitHub profile
@TurboAgentAI
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/TurboAgentAI/turboagent
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

TurboQuant-powered agentic AI framework for long-context LLMs on consumer hardware

Quick start

pip

pip install turboagent-ai

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

What turboagent-ai can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Agentic Ai — agentic-ai task automation.

Frequently asked questions

What is turboagent-ai?
TurboQuant-powered agentic AI framework for long-context LLMs on consumer hardware
How do I install turboagent-ai?
Use pip: `pip install turboagent-ai`. Full setup details on the source page linked above.
Is turboagent-ai open source?
turboagent-ai is published on PyPI.
What are alternatives to turboagent-ai?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for turboagent-ai is sourced from PyPI, published by TurboAgent Contributors.

Last scraped: · First indexed:

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