Home/Compare/future-agi vs langwatch

Comparison

future-agi vs langwatch

Verdict

Pick future-agi if future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails; pick langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.

Markdown twin · future-agi alternatives · langwatch alternatives

GraphCanon updated 1w

future-agi logo

future-agi

future-agi/future-agi

1.6kpushed Aug 1, 2026
vs
langwatch logo

langwatch

langwatch/langwatch

3.5kpushed Aug 7, 2026

Trust & integrity

Signalfuture-agilangwatch
Maintenance
Very active (1d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
As of 1mo · 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
End-to-end platform for evaluating, observing, and improving LLM and AI agent applications
langwatch
The platform for LLM evaluations and AI agent testing

Stars

future-agi
1.6k
langwatch
3.5k

Forks

future-agi
449
langwatch
340

Open issues

future-agi
596
langwatch
777

Language

future-agi
Python
langwatch
TypeScript

Adopt for

future-agi
Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
langwatch
LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.

Persona

future-agi
-
langwatch
-

Runtime

future-agi
-
langwatch
-

License

future-agi
Apache-2.0
langwatch
LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license.

Last pushed

future-agi
Aug 1, 2026
langwatch
Aug 7, 2026

Categories

future-agi
AI Agents, Evaluation & Observability
langwatch
AI Agents, Evaluation & Observability

Trust and health

Days since push

future-agi
1d
langwatch
0d

Open issues (now)

future-agi
596
langwatch
777

Stars delta

future-agi
Unknown
langwatch
+152 (30d)

Open issues delta

future-agi
Unknown
langwatch
+103 (30d)

OSV dependency advisories

future-agi
No lockfile (source not queried)
langwatch
No published findings from this source as of 2026-07-11

Full report

future-agi
Trust report
langwatch
Trust report

Choose future-agi if…

  • future-agi is primarily Python; langwatch is TypeScript.
  • Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels..
  • Requirements: Min 4 GB RAM; Requires Docker.
  • Tags unique to future-agi: ai-gateway, docker-compose, evals, simulation.
  • future-agi ships Docker support for self-hosted deployment.
  • - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.

When NOT to use future-agi

  • - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available.
  • - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.

Choose langwatch if…

  • langwatch is primarily TypeScript; future-agi is Python.
  • Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license..
  • Tags unique to langwatch: ai, analytics, datasets, evaluation.
  • You need to evaluate LLMs and test AI agents in a controlled environment.

When NOT to use langwatch

  • If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting.
  • You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.

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 1.6k · langwatch 3.5k (synced Aug 2, 2026).

Common questions

What is the difference between future-agi and langwatch?
future-agi: End-to-end platform for evaluating, observing, and improving LLM and AI agent applications. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories.
When should I choose future-agi over langwatch?
Choose future-agi over langwatch when future-agi is primarily Python; langwatch is TypeScript; Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, simulation; future-agi ships Docker support for self-hosted deployment; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
When should I choose langwatch over future-agi?
Choose langwatch over future-agi when langwatch is primarily TypeScript; future-agi is Python; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment.
When should I avoid future-agi?
- Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
When should I avoid langwatch?
If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
Is future-agi or langwatch more popular on GitHub?
langwatch has more GitHub stars (3,479 vs 1,559). Stars measure visibility, not whether either tool fits your constraints.
Are future-agi and langwatch open source?
Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, langwatch: Apache-2.0).
Where can I find alternatives to future-agi or langwatch?
GraphCanon lists graph-backed alternatives at future-agi alternatives and langwatch alternatives (future-agi markdown twin, langwatch 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 langwatch?
future-agi: Very active. langwatch: 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 langwatch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; langwatch trust report.

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