Home/Compare/ai-gateway vs recurrentgemma

Comparison

ai-gateway vs recurrentgemma

Verdict

Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; pick recurrentgemma if recurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference.

Markdown twin · ai-gateway alternatives · recurrentgemma alternatives

GraphCanon updated Sep 20, 2026

13views this month

ai-gateway logo

ai-gateway

ferro-labs/ai-gateway

★ 256pushed Sep 10, 2026
vs
recurrentgemma logo

recurrentgemma

google-deepmind/recurrentgemma

★ 685pushed Feb 6, 2026

Trust & integrity

Signalai-gatewayrecurrentgemma
Maintenance
Very active (2d since push)
As of Sep 12, 2026 · github_public_v1
Slowing (212d since push)
As of Sep 6, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 12, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 6, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 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

ai-gateway
Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
recurrentgemma
Open weights language model from Google DeepMind, based on Griffin

Stars

ai-gateway
256
recurrentgemma
685

Forks

ai-gateway
35
recurrentgemma
39

Open issues

ai-gateway
68
recurrentgemma
4

Language

ai-gateway
Go
recurrentgemma
Python

Adopt for

ai-gateway
ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment.
recurrentgemma
RecurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs.

Persona

ai-gateway
-
recurrentgemma
-

Runtime

ai-gateway
-
recurrentgemma
-

License

ai-gateway
Apache-2.0 - a permissive free software license
recurrentgemma
The codebase is distributed under the permissive Apache License, version 2.0, allowing for broad usage but with no warranties expressed or implied.

Last pushed

ai-gateway
Sep 10, 2026
recurrentgemma
Feb 6, 2026

Categories

ai-gateway
Inference & Serving, Model Training
recurrentgemma
Inference & Serving, Model Training

Trust and health

Maintenance

ai-gateway
Very active (96%)
recurrentgemma
Slowing (36%)

Days since push

ai-gateway
2d
recurrentgemma
212d

Open issues (now)

ai-gateway
68
recurrentgemma
4

Stars delta

ai-gateway
+37 (30d)
recurrentgemma
+1 (30d)

Open issues delta

ai-gateway
+5 (30d)
recurrentgemma
0 (30d)

OSV dependency advisories

ai-gateway
Published findings
recurrentgemma
No lockfile (source not queried)

Full report

ai-gateway
Trust report
recurrentgemma
Trust report

Shared compatibility

  • Python · ai-gateway: Python runtime · recurrentgemma: Python runtime

Choose ai-gateway if…

  • ai-gateway is primarily Go; recurrentgemma is Python.
  • Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
  • When you need to integrate more than 30 different LLM services including OpenAI and Anthropic

When NOT to use ai-gateway

  • If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features
  • For small-scale projects that do not require comprehensive cost analysis tools
  • When custom integration for specific guardrails is required, as ai-gateway offers generalized settings

Choose recurrentgemma if…

  • recurrentgemma is primarily Python; ai-gateway is Go.
  • Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch..
  • Tags unique to recurrentgemma: deep-learning, flax, jax, language-model.
  • If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation

When NOT to use recurrentgemma

  • Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem
  • Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging

Explore

Sources

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

GitHub stars on cards: ai-gateway 256 · recurrentgemma 685 (synced Sep 20, 2026).

Common questions

What is the difference between ai-gateway and recurrentgemma?
ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. recurrentgemma: Open weights language model from Google DeepMind, based on Griffin. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-gateway over recurrentgemma?
Choose ai-gateway over recurrentgemma when ai-gateway is primarily Go; recurrentgemma is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
When should I choose recurrentgemma over ai-gateway?
Choose recurrentgemma over ai-gateway when recurrentgemma is primarily Python; ai-gateway is Go; Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch.; Tags unique to recurrentgemma: deep-learning, flax, jax, language-model; If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation.
When should I avoid ai-gateway?
If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
When should I avoid recurrentgemma?
Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
Is ai-gateway or recurrentgemma more popular on GitHub?
recurrentgemma has more GitHub stars (685 vs 256). Stars measure visibility, not whether either tool fits your constraints.
Are ai-gateway and recurrentgemma open source?
Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, recurrentgemma: Apache-2.0).
Where can I find alternatives to ai-gateway or recurrentgemma?
GraphCanon lists graph-backed alternatives at ai-gateway alternatives and recurrentgemma alternatives (ai-gateway markdown twin, recurrentgemma 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, ai-gateway or recurrentgemma?
ai-gateway: Very active. recurrentgemma: 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 ai-gateway and recurrentgemma?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; recurrentgemma trust report.

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