Data & Research · GitHub ·16 ★

AURORA

AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.

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Details

Author
Drlordbasil
Category
Data & Research
Platform
GitHub
Framework
openai
Language
python
Stars
16
First indexed
2026-05-15
Last active
2024-11-11
Directory sync
2026-05-15
@Drlordbasil

Overview

AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.

Quick start

git

git clone https://github.com/Drlordbasil/AURORA

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

What AURORA can do

researchscrapscraperragllm
  • Research — Searches sources and synthesises evidence-based answers.
  • Scrap — scrap task automation.
  • Scraper — scraper task automation.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is AURORA?
AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.
How do I install AURORA?
Use git: `git clone https://github.com/Drlordbasil/AURORA`. Full setup details on the source page linked above.
Is AURORA open source?
AURORA is published on GitHub.
What are alternatives to AURORA?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AURORA is sourced from GitHub, published by Drlordbasil.

Last scraped: · First indexed:

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