Data & Research · PyPI

pragma-ai

Hybrid-reasoning knowledge engine: atomic-fact extraction with semantic nuance, ontology normalization, and agentic multi-hop synthesis. No vector database required.

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Details

Author
pragma contributors
GitHub profile
@kbpr21
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/kbpr21/pragma-ai
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-28
Last active
—
Directory sync
2026-05-28
@kbpr21

Overview

Hybrid-reasoning knowledge engine: atomic-fact extraction with semantic nuance, ontology normalization, and agentic multi-hop synthesis. No vector database required.

Quick start

pip

pip install pragma-ai

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

What pragma-ai can do

agentllmragaireasoning
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Reasoning — Works through multi-step problems with explicit logic.

Frequently asked questions

What is pragma-ai?
Hybrid-reasoning knowledge engine: atomic-fact extraction with semantic nuance, ontology normalization, and agentic multi-hop synthesis. No vector database required.
How do I install pragma-ai?
Use pip: `pip install pragma-ai`. Full setup details on the source page linked above.
Is pragma-ai open source?
pragma-ai is published on PyPI.
What are alternatives to pragma-ai?
Comparable agents include autoresearch, OpenBB, MinerU. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

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