Comparison
agentwatch vs RagaAI-Catalyst
Verdict
Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick RagaAI-Catalyst if ragaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL.
Markdown twin · agentwatch alternatives · RagaAI-Catalyst alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | agentwatch | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Dormant (483d since push) As of Sep 10, 2026 · github_public_v1 | Slowing (220d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentwatch
- A powerful AI observability framework for monitoring and optimizing AI-driven applications.
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- agentwatch
- 125
- RagaAI-Catalyst
- 16k
Forks
- agentwatch
- 11
- RagaAI-Catalyst
- 3.6k
Open issues
- agentwatch
- 0
- RagaAI-Catalyst
- 34
Language
- agentwatch
- Python
- RagaAI-Catalyst
- Python
Adopt for
- agentwatch
- Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
- RagaAI-Catalyst
- RagaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL
Persona
- agentwatch
- -
- RagaAI-Catalyst
- -
Runtime
- agentwatch
- -
- RagaAI-Catalyst
- -
License
- agentwatch
- Apache-2.0
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- agentwatch
- May 14, 2025
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- agentwatch
- AI Agents, Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentwatch
- Dormant (18%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- agentwatch
- 483d
- RagaAI-Catalyst
- 220d
Open issues (now)
- agentwatch
- 0
- RagaAI-Catalyst
- 34
Stars delta
- agentwatch
- +3 (30d)
- RagaAI-Catalyst
- +14 (30d)
OSV dependency advisories
- agentwatch
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- agentwatch
- Trust report
- RagaAI-Catalyst
- Trust report
Shared compatibility
- Python · agentwatch: Python runtime · RagaAI-Catalyst: Python runtime
Choose agentwatch if…
- Tags unique to agentwatch: agent, cybersecurity, large-language-models, llm-observability.
- When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models
- Leaner open-issue backlog (0).
When NOT to use agentwatch
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations
- When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
Choose RagaAI-Catalyst if…
- Tags unique to RagaAI-Catalyst: agentic-ai-development, agentneo, agents, ai-agent-monitoring.
- When you need comprehensive tools for the observability of complex multi-agentic systems.
- More GitHub stars (16k vs 125) - visibility, not fit.
When NOT to use RagaAI-Catalyst
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem.
- If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features.
- For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations.
- In scenarios where a fully managed service with no self-hosting requirements is preferred.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cyberark/agentwatch) · observed Sep 20, 2026
- GitHub forks (cyberark/agentwatch) · observed Sep 20, 2026
- Last push (cyberark/agentwatch) · observed May 14, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- GitHub forks (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- Last push (raga-ai-hub/RagaAI-Catalyst) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentwatch 125 · RagaAI-Catalyst 16k (synced Sep 20, 2026).
Common questions
- What is the difference between agentwatch and RagaAI-Catalyst?
- agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. RagaAI-Catalyst: Python SDK for AI agent observability and evaluation. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentwatch over RagaAI-Catalyst?
- Choose agentwatch over RagaAI-Catalyst when Tags unique to agentwatch: agent, cybersecurity, large-language-models, llm-observability; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models; Leaner open-issue backlog (0).
- When should I choose RagaAI-Catalyst over agentwatch?
- Choose RagaAI-Catalyst over agentwatch when Tags unique to RagaAI-Catalyst: agentic-ai-development, agentneo, agents, ai-agent-monitoring; When you need comprehensive tools for the observability of complex multi-agentic systems; More GitHub stars (16k vs 125) - visibility, not fit.
- When should I avoid agentwatch?
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
- When should I avoid RagaAI-Catalyst?
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem. If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features. For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations. In scenarios where a fully managed service with no self-hosting requirements is preferred.
- Is agentwatch or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,162 vs 125). Stars measure visibility, not whether either tool fits your constraints.
- Are agentwatch and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to agentwatch or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at agentwatch alternatives and RagaAI-Catalyst alternatives (agentwatch markdown twin, RagaAI-Catalyst markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentwatch or RagaAI-Catalyst?
- agentwatch: Dormant. RagaAI-Catalyst: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentwatch and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentwatch trust report; RagaAI-Catalyst trust report.