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 today
vs
Trust & integrity
| Signal | ai-gateway | private-gpt |
|---|---|---|
| Maintenance | Very active (1d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | Published findings As of 2d · osv@v1 | No lockfile (source not queried) As of 6d · 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
- 180
- private-gpt
- 57k
Forks
- ai-gateway
- 31
- private-gpt
- 7.6k
Open issues
- ai-gateway
- 47
- private-gpt
- 7
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
- Jul 14, 2026
- private-gpt
- Jul 14, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- private-gpt
- Inference & Serving
Trust and health
Days since push
- ai-gateway
- 1d
- private-gpt
- 0d
Open issues (now)
- ai-gateway
- 47
- private-gpt
- 7
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.
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.
- - 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 (ferro-labs/ai-gateway) · observed Jul 15, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Jul 15, 2026
- Last push (ferro-labs/ai-gateway) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zylon-ai/private-gpt) · observed Jul 15, 2026
- GitHub forks (zylon-ai/private-gpt) · observed Jul 15, 2026
- Last push (zylon-ai/private-gpt) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-gateway 180 · private-gpt 57k (synced Jul 15, 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; - 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 (57,328 vs 180). 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.