Home/Compare/future-agi vs AssetOpsBench

Comparison

future-agi vs AssetOpsBench

Verdict

Pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,; pick AssetOpsBench if assetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC.

Markdown twin · future-agi alternatives · AssetOpsBench alternatives

GraphCanon updated Sep 20, 2026

future-agi logo

future-agi

future-agi/future-agi

★ 2.0kpushed Sep 18, 2026
vs
AssetOpsBench logo

AssetOpsBench

IBM/AssetOpsBench

★ 2.3kpushed Sep 20, 2026

Trust & integrity

Signalfuture-agiAssetOpsBench
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 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 Sep 18, 2026 · osv@v1
No lockfile (source not queried)
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

future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
AssetOpsBench
Framework for building and evaluating AI agents targeting Industry 4.0 asset operations

Stars

future-agi
2.0k
AssetOpsBench
2.3k

Forks

future-agi
627
AssetOpsBench
325

Open issues

future-agi
961
AssetOpsBench
45

Language

future-agi
Python
AssetOpsBench
Python

Adopt for

future-agi
Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
AssetOpsBench
AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management.

Persona

future-agi
-
AssetOpsBench
-

Runtime

future-agi
-
AssetOpsBench
-

License

future-agi
Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms.
AssetOpsBench
Apache-2.0

Last pushed

future-agi
Sep 18, 2026
AssetOpsBench
Sep 20, 2026

Categories

future-agi
AI Agents, Evaluation & Observability, LLM Frameworks
AssetOpsBench
AI Agents, Evaluation & Observability

Trust and health

Open issues (now)

future-agi
961
AssetOpsBench
45

Stars delta

future-agi
+473 (30d)
AssetOpsBench
+235 (30d)

Open issues delta

future-agi
+365 (30d)
AssetOpsBench
0 (30d)

Full report

future-agi
Trust report
AssetOpsBench
Trust report

Choose future-agi if…

  • Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing..
  • Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment..
  • Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization.
  • Also covers LLM Frameworks.
  • future-agi ships Docker support for self-hosted deployment.
  • You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.

When NOT to use future-agi

  • You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
  • You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
  • Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.

Choose AssetOpsBench if…

  • Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot.
  • When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments
  • More GitHub stars (2.3k vs 2.0k) - visibility, not fit.

When NOT to use AssetOpsBench

  • If your project focus is on general-purpose AI outside the domain-specific context of industrial operations
  • Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: future-agi 2.0k · AssetOpsBench 2.3k (synced Sep 20, 2026).

Common questions

What is the difference between future-agi and AssetOpsBench?
future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. AssetOpsBench: Framework for building and evaluating AI agents targeting Industry 4.0 asset operations. See the comparison table for live GitHub stats and shared categories.
When should I choose future-agi over AssetOpsBench?
Choose future-agi over AssetOpsBench when Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers LLM Frameworks; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When should I choose AssetOpsBench over future-agi?
Choose AssetOpsBench over future-agi when Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot; When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments; More GitHub stars (2.3k vs 2.0k) - visibility, not fit.
When should I avoid future-agi?
You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
When should I avoid AssetOpsBench?
If your project focus is on general-purpose AI outside the domain-specific context of industrial operations Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management
Is future-agi or AssetOpsBench more popular on GitHub?
AssetOpsBench has more GitHub stars (2,304 vs 2,032). Stars measure visibility, not whether either tool fits your constraints.
Are future-agi and AssetOpsBench open source?
Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, AssetOpsBench: Apache-2.0).
Where can I find alternatives to future-agi or AssetOpsBench?
GraphCanon lists graph-backed alternatives at future-agi alternatives and AssetOpsBench alternatives (future-agi markdown twin, AssetOpsBench 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, future-agi or AssetOpsBench?
future-agi: Very active. AssetOpsBench: Very active. 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 future-agi and AssetOpsBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; AssetOpsBench trust report.

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