Home/Compare/ai-gateway vs private-gpt

Comparison

ai-gateway vs private-gpt

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 private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools.

Markdown twin · ai-gateway alternatives · private-gpt alternatives

GraphCanon updated Sep 12, 2026

8views this month

ai-gateway logo

ai-gateway

ferro-labs/ai-gateway

256pushed Sep 10, 2026
vs
private-gpt logo

private-gpt

zylon-ai/private-gpt

57kpushed Sep 7, 2026

Trust & integrity

Signalai-gatewayprivate-gpt
Maintenance
Very active (2d since push)
As of Sep 12, 2026 · github_public_v1
Very active (0d since push)
As of Sep 8, 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 8, 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
private-gpt
Complete API layer for private AI applications on local models

Stars

ai-gateway
256
private-gpt
57k

Forks

ai-gateway
35
private-gpt
7.6k

Open issues

ai-gateway
68
private-gpt
8

Language

ai-gateway
Go
private-gpt
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.
private-gpt
PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,

Persona

ai-gateway
-
private-gpt
-

Runtime

ai-gateway
-
private-gpt
-

License

ai-gateway
Apache-2.0 - a permissive free software license
private-gpt
Apache-2.0

Last pushed

ai-gateway
Sep 10, 2026
private-gpt
Sep 7, 2026

Categories

ai-gateway
Inference & Serving, Model Training
private-gpt
Inference & Serving

Trust and health

Days since push

ai-gateway
2d
private-gpt
0d

Open issues (now)

ai-gateway
68
private-gpt
8

Stars delta

ai-gateway
+37 (30d)
private-gpt
+82 (30d)

OSV dependency advisories

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

Full report

ai-gateway
Trust report
private-gpt
Trust report

Typed relationship

ai-gateway alternative private-gptPrivateGPT and ai-gateway both function as API layers to manage multiple LLMs with integrated features, making them alternative tools for similar purposes.

Shared compatibility

  • Python · ai-gateway: Python runtime · private-gpt: Python runtime

Choose ai-gateway if…

  • ai-gateway is primarily Go; private-gpt is Python.
  • PrivateGPT and ai-gateway both function as API layers to manage multiple LLMs with integrated features, making them alternative tools for similar purposes.
  • Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
  • Also covers Model Training.
  • 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 private-gpt if…

  • private-gpt is primarily Python; ai-gateway is Go.
  • Requirements: Min 8 GB RAM; Requires Docker.
  • PrivateGPT and ai-gateway both function as API layers to manage multiple LLMs with integrated features, making them alternative tools for similar purposes.
  • Tags unique to private-gpt: ai, ai-tools, local-models, mcp.
  • private-gpt ships Docker support for self-hosted deployment.
  • - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.

When NOT to use private-gpt

  • - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services.
  • - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations.
  • - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.

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 · private-gpt 57k (synced Sep 12, 2026).

Common questions

What is the difference between ai-gateway and private-gpt?
ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-gateway over private-gpt?
Choose ai-gateway over private-gpt when ai-gateway is primarily Go; private-gpt is Python; PrivateGPT and ai-gateway both function as API layers to manage multiple LLMs with integrated features, making them alternative tools for similar purposes; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
When should I choose private-gpt over ai-gateway?
Choose private-gpt over ai-gateway when private-gpt is primarily Python; ai-gateway is Go; Requirements: Min 8 GB RAM; Requires Docker; PrivateGPT and ai-gateway both function as API layers to manage multiple LLMs with integrated features, making them alternative tools for similar purposes; Tags unique to private-gpt: ai, ai-tools, local-models, mcp; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
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 private-gpt?
- You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
Is ai-gateway or private-gpt more popular on GitHub?
private-gpt has more GitHub stars (57,497 vs 256). Stars measure visibility, not whether either tool fits your constraints.
Are ai-gateway and private-gpt open source?
Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, private-gpt: Apache-2.0).
Where can I find alternatives to ai-gateway or private-gpt?
GraphCanon lists graph-backed alternatives at ai-gateway alternatives and private-gpt alternatives (ai-gateway markdown twin, private-gpt 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 private-gpt?
ai-gateway: Very active. private-gpt: 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 ai-gateway and private-gpt?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; private-gpt trust report.

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