Comparison
ai-gateway vs IntelliServer
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 IntelliServer if deploy scalable AI microservices using IntelliServer in Docker for chatbot, semantic search, image generation.
Markdown twin · ai-gateway alternatives · IntelliServer alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | ai-gateway | IntelliServer |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Active (25d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal 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
- IntelliServer
- AI models as scalable microservices for evaluation and end-to-end functions
Stars
- ai-gateway
- 219
- IntelliServer
- 29
Forks
- ai-gateway
- 33
- IntelliServer
- 3
Open issues
- ai-gateway
- 63
- IntelliServer
- 2
Language
- ai-gateway
- Go
- IntelliServer
- JavaScript
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.
- IntelliServer
- Deploy scalable AI microservices using IntelliServer in Docker for chatbot, semantic search, image generation.
Persona
- ai-gateway
- -
- IntelliServer
- -
Runtime
- ai-gateway
- -
- IntelliServer
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- IntelliServer
- MIT License, free for use in personal or commercial projects with attribution.
Last pushed
- ai-gateway
- Aug 7, 2026
- IntelliServer
- Jul 13, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- IntelliServer
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- ai-gateway
- Very active (96%)
- IntelliServer
- Active (82%)
Days since push
- ai-gateway
- 2d
- IntelliServer
- 25d
Open issues (now)
- ai-gateway
- 63
- IntelliServer
- 2
Owner type
- ai-gateway
- Organization
- IntelliServer
- User
OSV dependency advisories
- ai-gateway
- Published findings
- IntelliServer
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- IntelliServer
- Trust report
Choose ai-gateway if…
- ai-gateway is primarily Go; IntelliServer is JavaScript.
- License: ai-gateway is Apache-2.0, IntelliServer is MIT.
- 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 IntelliServer if…
- IntelliServer is primarily JavaScript; ai-gateway is Go.
- License: IntelliServer is MIT, ai-gateway is Apache-2.0.
- Tags unique to IntelliServer: ai, chatbot, claude, cohere.
- Also covers LLM Frameworks.
- Need to deploy specific AI services like chatbot or semantic search as Dockerized microservices
When NOT to use IntelliServer
- For general-purpose model training; IntelliServer focuses on inference and serving via microservices
- If you need real-time performance without the overhead of containerization
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 (intelligentnode/IntelliServer) · observed Aug 7, 2026
- GitHub forks (intelligentnode/IntelliServer) · observed Aug 7, 2026
- Last push (intelligentnode/IntelliServer) · observed Jul 13, 2026
- License file (MIT) · 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 · IntelliServer 29 (synced Aug 9, 2026).
Common questions
- What is the difference between ai-gateway and IntelliServer?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. IntelliServer: AI models as scalable microservices for evaluation and end-to-end functions. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over IntelliServer?
- Choose ai-gateway over IntelliServer when ai-gateway is primarily Go; IntelliServer is JavaScript; License: ai-gateway is Apache-2.0, IntelliServer is MIT; 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 IntelliServer over ai-gateway?
- Choose IntelliServer over ai-gateway when IntelliServer is primarily JavaScript; ai-gateway is Go; License: IntelliServer is MIT, ai-gateway is Apache-2.0; Tags unique to IntelliServer: ai, chatbot, claude, cohere; Also covers LLM Frameworks; Need to deploy specific AI services like chatbot or semantic search as Dockerized microservices.
- 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 IntelliServer?
- For general-purpose model training; IntelliServer focuses on inference and serving via microservices If you need real-time performance without the overhead of containerization
- Is ai-gateway or IntelliServer more popular on GitHub?
- ai-gateway has more GitHub stars (219 vs 29). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and IntelliServer open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, IntelliServer: MIT).
- Where can I find alternatives to ai-gateway or IntelliServer?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and IntelliServer alternatives (ai-gateway markdown twin, IntelliServer 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 IntelliServer?
- ai-gateway: Very active. IntelliServer: 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 IntelliServer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; IntelliServer trust report.