Home/Compare/future-agi vs langevals

Comparison

future-agi vs langevals

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 langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language.

Markdown twin · future-agi alternatives · langevals alternatives

GraphCanon updated Sep 20, 2026

future-agi logo

future-agi

future-agi/future-agi

2.0kpushed Sep 18, 2026
vs
langevals logo

langevals

langwatch/langevals

72pushed Feb 15, 2026

Trust & integrity

Signalfuture-agilangevals
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Archived (209d since push)
As of Sep 13, 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 13, 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 15, 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
langevals
Provides a platform for evaluating and benchmarking LLM models using various evaluators

Stars

future-agi
2.0k
langevals
72

Forks

future-agi
627
langevals
10

Open issues

future-agi
961
langevals
0

Language

future-agi
Python
langevals
-

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,
langevals
LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.

Persona

future-agi
-
langevals
-

Runtime

future-agi
-
langevals
-

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.
langevals
-

Last pushed

future-agi
Sep 18, 2026
langevals
Feb 15, 2026

Categories

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

Trust and health

Maintenance

future-agi
Very active (96%)
langevals
Archived (8%)

Days since push

future-agi
0d
langevals
209d

Archived on GitHub

future-agi
No
langevals
Yes

Open issues (now)

future-agi
961
langevals
0

Stars delta

future-agi
+473 (30d)
langevals
0 (30d)

Open issues delta

future-agi
+365 (30d)
langevals
-18 (30d)

Full report

future-agi
Trust report
langevals
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 AI Agents, 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 langevals if…

  • Tags unique to langevals: evaluation, llm, openai.
  • When you need a singular point of access to multiple LLM evaluation tools
  • Leaner open-issue backlog (0).

When NOT to use langevals

  • If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option
  • When needing to customize evaluation processes extensively beyond what the provided standard interface allows

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 · langevals 72 (synced Sep 20, 2026).

Common questions

What is the difference between future-agi and langevals?
future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories.
When should I choose future-agi over langevals?
Choose future-agi over langevals 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 AI Agents, 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 langevals over future-agi?
Choose langevals over future-agi when Tags unique to langevals: evaluation, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0).
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 langevals?
If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows
Is future-agi or langevals more popular on GitHub?
future-agi has more GitHub stars (2,032 vs 72). Stars measure visibility, not whether either tool fits your constraints.
Are future-agi and langevals open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to future-agi or langevals?
GraphCanon lists graph-backed alternatives at future-agi alternatives and langevals alternatives (future-agi markdown twin, langevals 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 langevals?
future-agi: Very active. langevals: Archived. 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 langevals?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; langevals trust report.

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