--- title: "invariant-gateway vs RagaAI-Catalyst" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/invariantlabs-ai-invariant-gateway-vs-raga-ai-hub-ragaai-catalyst" tools: ["invariantlabs-ai-invariant-gateway", "raga-ai-hub-ragaai-catalyst"] --- # invariant-gateway vs RagaAI-Catalyst *GraphCanon updated Sep 20, 2026* ## Verdict Pick invariant-gateway if the invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations; 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. [invariant-gateway](https://github.com/invariantlabs-ai/invariant-gateway) reports 80 GitHub stars, 9 forks, and 1 open issues, last pushed Nov 6, 2025. [RagaAI-Catalyst](https://catalyst.raga.ai/) has 16k stars, 3.6k forks, and 34 open issues, last pushed Feb 11, 2026. Figures are from public GitHub metadata via [invariant-gateway's repository](https://github.com/invariantlabs-ai/invariant-gateway) and [RagaAI-Catalyst's repository](https://github.com/raga-ai-hub/RagaAI-Catalyst). | | [invariant-gateway](/tools/invariantlabs-ai-invariant-gateway.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Tagline | LLM proxy for observing and debugging AI agent activities | Python SDK for AI agent observability and evaluation | | Stars | 80 | 16,162 | | Forks | 9 | 3,567 | | Open issues | 1 | 34 | | Language | Python | Python | | Adopt for | The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [invariant-gateway](/tools/invariantlabs-ai-invariant-gateway.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Days since push | 310d | 220d | | Open issues (now) | 1 | 34 | | Stars delta | +2 (30d) | +14 (30d) | | Full report | [trust report](/tools/invariantlabs-ai-invariant-gateway/trust.md) | [trust report](/tools/raga-ai-hub-ragaai-catalyst/trust.md) | ## Decision facts: invariant-gateway - **Adopt for:** The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations. ## Decision facts: RagaAI-Catalyst - **Adopt for:** 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 ## Choose when ### Choose invariant-gateway if… - Tags unique to invariant-gateway: ai-agents, debugging, guardrails, llm. - If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance; - Leaner open-issue backlog (1). ### Choose RagaAI-Catalyst if… - Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents. - When you need comprehensive tools for the observability of complex multi-agentic systems. - More GitHub stars (16k vs 80) - visibility, not fit. ## When NOT to use invariant-gateway - In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications; - For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations; ## 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. ## Common questions ### What is the difference between invariant-gateway and RagaAI-Catalyst? invariant-gateway: LLM proxy for observing and debugging AI agent activities. 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 invariant-gateway over RagaAI-Catalyst? Choose invariant-gateway over RagaAI-Catalyst when Tags unique to invariant-gateway: ai-agents, debugging, guardrails, llm; If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;; Leaner open-issue backlog (1). ### When should I choose RagaAI-Catalyst over invariant-gateway? Choose RagaAI-Catalyst over invariant-gateway when Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents; When you need comprehensive tools for the observability of complex multi-agentic systems; More GitHub stars (16k vs 80) - visibility, not fit. ### When should I avoid invariant-gateway? In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications; For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations; ### 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 invariant-gateway or RagaAI-Catalyst more popular on GitHub? RagaAI-Catalyst has more GitHub stars (16,162 vs 80). Stars measure visibility, not whether either tool fits your constraints. ### Are invariant-gateway and RagaAI-Catalyst open source? Yes - both are open-source projects on GitHub (invariant-gateway: Apache-2.0, RagaAI-Catalyst: Apache-2.0). ### Where can I find alternatives to invariant-gateway or RagaAI-Catalyst? GraphCanon lists graph-backed alternatives at [invariant-gateway alternatives](/tools/invariantlabs-ai-invariant-gateway/alternatives) and [RagaAI-Catalyst alternatives](/tools/raga-ai-hub-ragaai-catalyst/alternatives) ([invariant-gateway markdown twin](/tools/invariantlabs-ai-invariant-gateway/alternatives.md), [RagaAI-Catalyst markdown twin](/tools/raga-ai-hub-ragaai-catalyst/alternatives.md)), 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](/compare/invariantlabs-ai-invariant-gateway-vs-raga-ai-hub-ragaai-catalyst.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, invariant-gateway or RagaAI-Catalyst? invariant-gateway: Slowing. 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 invariant-gateway and RagaAI-Catalyst? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [invariant-gateway trust report](/tools/invariantlabs-ai-invariant-gateway/trust); [RagaAI-Catalyst trust report](/tools/raga-ai-hub-ragaai-catalyst/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=invariantlabs-ai-invariant-gateway`](/api/graphcanon/graph?tool=invariantlabs-ai-invariant-gateway) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_