---
title: "agentops vs futureagi-sdk"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-future-agi-futureagi-sdk"
tools: ["agentops-ai-agentops", "future-agi-futureagi-sdk"]
---

# agentops vs futureagi-sdk

*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 futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.

[agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [futureagi-sdk](https://app.futureagi.com) has 51 stars, 8 forks, and 4 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk).

| | [agentops](/tools/agentops-ai-agentops.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) |
| --- | --- | --- |
| Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Production-grade AI evaluation, prompt management & observability SDK |
| Stars | 5,830 | 51 |
| Forks | 625 | 8 |
| Open issues | 184 | 4 |
| 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. | futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [agentops](/tools/agentops-ai-agentops.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) |
| --- | --- | --- |
| Days since push | 86d | 71d |
| Open issues (now) | 184 | 4 |
| Stars delta | +59 (30d) | +3 (30d) |
| Open issues delta | +8 (30d) | +1 (30d) |
| Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/future-agi-futureagi-sdk/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: futureagi-sdk

- **Pricing:** freemium - The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.
- **Requirements:** Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.
- **Adopt for:** futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.
- **License detail:** Apache-2.0

## Choose when

### Choose agentops if…

- License: agentops is MIT, futureagi-sdk is Apache-2.0.
- Tags unique to agentops: benchmarking, cost-tracking.
- Also covers AI Agents.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK

### Choose futureagi-sdk if…

- License: futureagi-sdk is Apache-2.0, agentops is MIT.
- Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis..
- Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration..
- Tags unique to futureagi-sdk: ai, annotations, dataset, development.
- When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.

## 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 futureagi-sdk

- If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript.
- When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.

## Common questions

### What is the difference between agentops and futureagi-sdk?

agentops: Python SDK for AI agent monitoring and LLM cost tracking. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentops over futureagi-sdk?

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

### When should I choose futureagi-sdk over agentops?

Choose futureagi-sdk over agentops when License: futureagi-sdk is Apache-2.0, agentops is MIT; Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, annotations, dataset, development; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.

### 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 futureagi-sdk?

If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.

### Is agentops or futureagi-sdk more popular on GitHub?

agentops has more GitHub stars (5,830 vs 51). Stars measure visibility, not whether either tool fits your constraints.

### Are agentops and futureagi-sdk open source?

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

### Where can I find alternatives to agentops or futureagi-sdk?

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

### Which is better maintained, agentops or futureagi-sdk?

agentops: Steady. futureagi-sdk: Steady. 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 futureagi-sdk?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/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/_
