Comparison
ai-gateway vs serge
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 serge if serge is a web interface for interacting with the Alpaca model via llama.cpp, fully dockerized and easy to start using.
Markdown twin · ai-gateway alternatives · serge alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | ai-gateway | serge |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Archived (259d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- ai-gateway
- Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
- serge
- Web interface for chatting with Alpaca through llama.cpp
Stars
- ai-gateway
- 219
- serge
- 5.7k
Forks
- ai-gateway
- 33
- serge
- 388
Open issues
- ai-gateway
- 63
- serge
- 33
Language
- ai-gateway
- Go
- serge
- Svelte
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.
- serge
- Serge is a web interface for interacting with the Alpaca model via llama.cpp, fully dockerized and easy to start using.
Persona
- ai-gateway
- -
- serge
- -
Runtime
- ai-gateway
- -
- serge
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- serge
- Licensed under dual licenses of Apache-2.0 and MIT License.
Last pushed
- ai-gateway
- Aug 7, 2026
- serge
- Nov 21, 2025
Categories
- ai-gateway
- Inference & Serving, Model Training
- serge
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ai-gateway
- Very active (96%)
- serge
- Archived (8%)
Days since push
- ai-gateway
- 2d
- serge
- 259d
Archived on GitHub
- ai-gateway
- No
- serge
- Yes
Open issues (now)
- ai-gateway
- 63
- serge
- 33
OSV dependency advisories
- ai-gateway
- Published findings
- serge
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- serge
- Trust report
Choose ai-gateway if…
- ai-gateway is primarily Go; serge is Svelte.
- 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 serge if…
- serge is primarily Svelte; ai-gateway is Go.
- Pricing: Serge is open source, permitting free use and alteration under its dual licenses, Apache-2.0 and MIT..
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to serge: alpaca, docker, fastapi, llama.
- Also covers LLM Frameworks.
- serge ships Docker support for self-hosted deployment.
- Use Serge when you need an out-of-the-box solution for chatting with the Alpaca model without deep technical setup knowledge. Its pre-configured Docker image ensures quick deployment.
When NOT to use serge
- Avoid Serge if you require a custom model other than Alpaca or need capabilities not provided by the llama.cpp backend. It is specifically tailored for this configuration.
- Do not use Serge if your project strictly demands a single software license; it uses both MIT and Apache-2.0, which may conflict with third-party dependencies.
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 Aug 9, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Aug 9, 2026
- Last push (ferro-labs/ai-gateway) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (serge-chat/serge) · observed Aug 7, 2026
- GitHub forks (serge-chat/serge) · observed Aug 7, 2026
- Last push (serge-chat/serge) · observed Nov 21, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-gateway 219 · serge 5.7k (synced Aug 9, 2026).
Common questions
- What is the difference between ai-gateway and serge?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. serge: Web interface for chatting with Alpaca through llama.cpp. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over serge?
- Choose ai-gateway over serge when ai-gateway is primarily Go; serge is Svelte; 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 serge over ai-gateway?
- Choose serge over ai-gateway when serge is primarily Svelte; ai-gateway is Go; Pricing: Serge is open source, permitting free use and alteration under its dual licenses, Apache-2.0 and MIT.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to serge: alpaca, docker, fastapi, llama; Also covers LLM Frameworks; serge ships Docker support for self-hosted deployment; Use Serge when you need an out-of-the-box solution for chatting with the Alpaca model without deep technical setup knowledge. Its pre-configured Docker image ensures quick deployment.
- 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 serge?
- Avoid Serge if you require a custom model other than Alpaca or need capabilities not provided by the llama.cpp backend. It is specifically tailored for this configuration. Do not use Serge if your project strictly demands a single software license; it uses both MIT and Apache-2.0, which may conflict with third-party dependencies.
- Is ai-gateway or serge more popular on GitHub?
- serge has more GitHub stars (5,716 vs 219). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and serge open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, serge: Apache-2.0).
- Where can I find alternatives to ai-gateway or serge?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and serge alternatives (ai-gateway markdown twin, serge 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 serge?
- ai-gateway: Very active. serge: 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 ai-gateway and serge?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; serge trust report.