Code & Development · GitHub ·16,132 ★

RagaAI-Catalyst

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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Details

Author
raga-ai-hub
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
16,132
First indexed
2026-05-15
Last active
2026-02-11
Directory sync
2026-05-15
@raga-ai-hubwww.raga.ai

Overview

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Quick start

git

git clone https://github.com/raga-ai-hub/RagaAI-Catalyst

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

What RagaAI-Catalyst can do

frameworkmonitordebugraganaly
  • Framework — framework task automation.
  • Monitor — monitor task automation.
  • Debug — debug task automation.
  • Rag — Retrieves grounded context before answering.
  • Analy — analy task automation.

Frequently asked questions

What is RagaAI-Catalyst?
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
How do I install RagaAI-Catalyst?
Use git: `git clone https://github.com/raga-ai-hub/RagaAI-Catalyst`. Full setup details on the source page linked above.
Is RagaAI-Catalyst open source?
RagaAI-Catalyst is published on GitHub.
What are alternatives to RagaAI-Catalyst?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RagaAI-Catalyst is sourced from GitHub, published by raga-ai-hub.

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