---
title: "RagaAI Catalyst"
pageType: "tool-profile"
schemaVersion: "1.0"
snapshotId: "tv-20261027-b36ae5d5f795"
generatedAt: "2026-10-27T07:03:11.000Z"
canonicalUrl: "https://toolvitals.com/tools/ragaai-catalyst/"
jsonUrl: "https://toolvitals.com/api/agent/tools/ragaai-catalyst"
indexable: true
---

# 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

## Decision context

- Status: zombie
- ToolVitals score: 4/100
- Health score: 6/100
- Shipping score: 0/100
- Score mode: verdict
- Data confidence: 90/100
- Source coverage: 75/100
- Last evidence check: 2026-10-27

## Classification

- Use case: Observability (observability)
- Category: Monitoring (monitoring)
- Tool mode: Source-visible project
- Openness: OSI-approved OSS
- License: Apache-2.0
- Tags: open-source, agentic-ai, agentic-ai-development, agentneo, agents, ai-agent-monitoring, ai-application-debugging, ai-evaluation-tools, ai-performance-optimization, ai-tool-interaction-monitoring, llm-testing, llm-tracing, llmops, self-hosted, observability, monitoring

## Public repository signals

- Repository: [raga-ai-hub/RagaAI-Catalyst](https://github.com/raga-ai-hub/RagaAI-Catalyst)
- Stars: 16183 (adoption context only)
- Forks: 3572
- Open issues: 34
- Last commit date: 2026-02-12
- Releases in 90 days: 0

## Source receipts

- [Official website](https://catalyst.raga.ai/) — checked 2026-10-27
- [Source repository](https://github.com/raga-ai-hub/RagaAI-Catalyst) — checked 2026-10-27

## Discovery status

- Search indexable: yes
- Reason: sufficient tool evidence

## Interpretation limits

- ToolVitals scores summarize bounded public maintenance, shipping, openness, and evidence signals. They are not user-review ratings.
- GitHub stars and related popularity metrics are adoption context, not quality evidence.
- Missing values mean not collected or not confidently established; they do not mean zero.
- Public signals do not prove security, uptime, support quality, customer satisfaction, or production suitability.
- Verify material decisions against the linked first-party sources and your own requirements.