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codegate
Frameworks Agênticos · 636.1M visitas mensais

Codegate é um gateway de segurança de código aberto e framework de multiplexação para sistemas de agentes de IA. Desenvolvido pela Stacklok, ele fornece workspaces seguros e controle de acesso baseado em políticas, permitindo que desenvolvedores construam e gerenciem aplicações complexas de múltiplos agentes de forma segura e eficiente.

VS
Sylph AI
Bibliotecas · 22.5K visitas mensais

Sylph AI é uma plataforma de desenvolvimento projetada para maximizar o potencial de aplicações LLM. Apresenta o AdalFlow, uma biblioteca de código aberto líder para construir e otimizar automaticamente pipelines de tarefas LLM, e um AI Teammate que fornece orientação especializada durante todo o fluxo de trabalho de desenvolvimento, da ideação à produção.

codegate vs Sylph AI: preços, recursos e tráfego

Compare codegate e Sylph AI por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

codegate Visão geral

Codegate é um gateway de segurança de código aberto e framework de multiplexação para sistemas de agentes de IA. Desenvolvido pela Stacklok, ele fornece workspaces seguros e controle de acesso baseado em políticas, permitindo que desenvolvedores construam e gerenciem aplicações complexas de múltiplos agentes de forma segura e eficiente.

Preview

Sylph AI Visão geral

Sylph AI é uma plataforma de desenvolvimento projetada para maximizar o potencial de aplicações LLM. Apresenta o AdalFlow, uma biblioteca de código aberto líder para construir e otimizar automaticamente pipelines de tarefas LLM, e um AI Teammate que fornece orientação especializada durante todo o fluxo de trabalho de desenvolvimento, da ideação à produção.

Preview

Detailed feature comparison

FeaturecodegateSylph AI
Categoria principalFrameworks AgênticosBibliotecas
Adicionado2025-08-162025-08-16
PreçoGratuitoFreemium
Site oficialgithub.comwww.sylph.ai
Tipo de produtoAplicativoSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais636.1M22.5K
Crescimento mensal0.8%-13.2%
Favoritos108136
DetailsVer detalhesVer detalhes

codegate vs Sylph AI monthly traffic

Compare codegate and Sylph AI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the codegate vs Sylph AI monthly traffic comparison, codegate currently shows 636.1M visits and Sylph AI shows 22.5K; codegate has about 28,321.6 times the visible traffic of Sylph AI, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

codegate is registered at the github.com/stacklok subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

codegate monthly traffic:

Latest traffic

Visitas mensais
636.1M
Duração média
6:23
Páginas por visita
5.92
Taxa de rejeição
36.46%
Data updated 2026-06-11

Monthly traffic trend

  • 2026/1: 542.6M Visitas mensais
  • 2026/2: 534.8M Visitas mensais
  • 2026/3: 634.3M Visitas mensais
  • 2026/4: 631M Visitas mensais
  • 2026/5: 636.1M Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States36.14%229.9M
🇨🇳China22.96%146M
🇮🇳India17.41%110.7M
🇷🇺Russia15.84%100.8M
🇩🇪Germany7.65%48.7M

Fontes de tráfego

Source typePercentageTraffic
Direto82.14%522.5M
Referência16.14%102.7M
E-mail1.72%10.9M

Palavras-chave

githubgithub copilothermes agentzapretзапрет

Sylph AI monthly traffic:

Latest traffic

Visitas mensais
22.5K
Duração média
0:31
Páginas por visita
2.1
Taxa de rejeição
36.32%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 8.2K Visitas mensais
  • 2026/1: 12K Visitas mensais
  • 2026/2: 18.6K Visitas mensais
  • 2026/3: 32.7K Visitas mensais
  • 2026/4: 25.9K Visitas mensais
  • 2026/5: 22.5K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States70.84%15.9K
🇮🇳India9.68%2.2K
🇮🇩Indonesia6.55%1.5K
🇻🇳Vietnam6.47%1.5K
🇧🇷Brazil6.46%1.5K

Fontes de tráfego

Source typePercentageTraffic
Direto75.46%16.9K
Referência24.54%5.5K

Palavras-chave

adaladal agentadal cliadal coding agentclaude opus 4.6 free use app
Traffic-based selection guidance: codegate is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing codegate for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of codegate and Sylph AI

codegate Core features

Automação
Frameworks Agênticos
Segurança

Sylph AI Core features

Automação
Bibliotecas
LLM

Use cases

codegate Use cases

Agente de IA
automação
Ferramentas de desenvolvedor
Código Aberto
Python
Estrutura agentiva
Segurança de IA
DevSecOps
Kubernetes
gateway de segurança

Sylph AI Use cases

Agente de IA
automação
Ferramentas de desenvolvedor
Código Aberto
Python
Modelo de Linguagem de Grande Escala
Ajuste fino de modelo
otimização
Pipeline
Engenharia de prompt

codegate vs Sylph AI:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth codegate vs Sylph AI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. codegate is primarily listed under “Frameworks Agênticos”, while Sylph AI is primarily listed under “Bibliotecas”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (codegate: Frameworks Agênticos; Sylph AI: Bibliotecas); Product type (codegate: App; Sylph AI: Website); Pricing (codegate: Free; Sylph AI: Freemium); Monthly visits (codegate: 636.1M; Sylph AI: 22.5K); Monthly growth (codegate: 0.8%; Sylph AI: -13.2%). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the codegate vs Sylph AI monthly traffic comparison, codegate currently shows 636.1M visits and Sylph AI shows 22.5K; codegate has about 28,321.6 times the visible traffic of Sylph AI, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

codegate is registered at the github.com/stacklok subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

codegate is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing codegate for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

codegate and Sylph AI currently overlap in shared categories: Automação; shared tags: Agente de IA, automação, Ferramentas de desenvolvedor, Código Aberto e Python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

codegate's unique categories/tags are Frameworks Agênticos, Segurança, Estrutura agentiva, Segurança de IA, DevSecOps, Kubernetes e gateway de segurança; Sylph AI's are Bibliotecas, LLM, Modelo de Linguagem de Grande Escala, Ajuste fino de modelo, otimização, Pipeline e Engenharia de prompt. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

codegate has no verified rating, 0 comments, 108 favorites, and 111 likes;Sylph AI has no verified rating, 0 comments, 136 favorites, and 110 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate codegate first

Put codegate on the priority trial list when the task aligns with “Frameworks Agênticos” and especially Frameworks Agênticos, Segurança, Estrutura agentiva, Segurança de IA, DevSecOps e Kubernetes. This follows recorded positioning and does not imply unlisted capabilities are absent.

codegate also currently records: pricing is free, product type is app, 636.1M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Sylph AI first

Put Sylph AI on the priority trial list when the task aligns with “Bibliotecas” and especially Bibliotecas, LLM, Modelo de Linguagem de Grande Escala, Ajuste fino de modelo, otimização e Pipeline. This follows recorded positioning and does not imply unlisted capabilities are absent.

Sylph AI also currently records: pricing is freemium, product type is website, 22.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in codegate and Sylph AI, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ da comparação

How should I choose between codegate and Sylph AI?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.