---
title: "agentops vs invariant-gateway"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-invariantlabs-ai-invariant-gateway"
tools: ["agentops-ai-agentops", "invariantlabs-ai-invariant-gateway"]
---

# agentops vs invariant-gateway

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; 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.

[agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [invariant-gateway](https://github.com/invariantlabs-ai/invariant-gateway) has 80 stars, 9 forks, and 1 open issues, last pushed Nov 6, 2025. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [invariant-gateway's repository](https://github.com/invariantlabs-ai/invariant-gateway).

| | [agentops](/tools/agentops-ai-agentops.md) | [invariant-gateway](/tools/invariantlabs-ai-invariant-gateway.md) |
| --- | --- | --- |
| Tagline | Python SDK for AI agent monitoring and LLM cost tracking | LLM proxy for observing and debugging AI agent activities |
| Stars | 5,830 | 80 |
| Forks | 625 | 9 |
| Open issues | 184 | 1 |
| Language | Python | Python |
| Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentops](/tools/agentops-ai-agentops.md) | [invariant-gateway](/tools/invariantlabs-ai-invariant-gateway.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 86d | 310d |
| Open issues (now) | 184 | 1 |
| Stars delta | +59 (30d) | +2 (30d) |
| Open issues delta | +8 (30d) | 0 (30d) |
| Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/invariantlabs-ai-invariant-gateway/trust.md) |

## Decision facts: agentops

- **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.

## 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.

## Choose when

### Choose agentops if…

- License: agentops is MIT, invariant-gateway is Apache-2.0.
- Tags unique to agentops: benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK

### Choose invariant-gateway if…

- License: invariant-gateway is Apache-2.0, agentops is MIT.
- Tags unique to invariant-gateway: debugging, guardrails, llm, observability.
- If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;

## When NOT to use agentops

- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints

## 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;

## Common questions

### What is the difference between agentops and invariant-gateway?

agentops: Python SDK for AI agent monitoring and LLM cost tracking. invariant-gateway: LLM proxy for observing and debugging AI agent activities. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentops over invariant-gateway?

Choose agentops over invariant-gateway when License: agentops is MIT, invariant-gateway is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.

### When should I choose invariant-gateway over agentops?

Choose invariant-gateway over agentops when License: invariant-gateway is Apache-2.0, agentops is MIT; Tags unique to invariant-gateway: debugging, guardrails, llm, observability; If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;.

### When should I avoid agentops?

If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints

### 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;

### Is agentops or invariant-gateway more popular on GitHub?

agentops has more GitHub stars (5,830 vs 80). Stars measure visibility, not whether either tool fits your constraints.

### Are agentops and invariant-gateway open source?

Yes - both are open-source projects on GitHub (agentops: MIT, invariant-gateway: Apache-2.0).

### Where can I find alternatives to agentops or invariant-gateway?

GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [invariant-gateway alternatives](/tools/invariantlabs-ai-invariant-gateway/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [invariant-gateway markdown twin](/tools/invariantlabs-ai-invariant-gateway/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/agentops-ai-agentops-vs-invariantlabs-ai-invariant-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentops or invariant-gateway?

agentops: Steady. invariant-gateway: 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 agentops and invariant-gateway?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [invariant-gateway trust report](/tools/invariantlabs-ai-invariant-gateway/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops)
- 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/_
