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codegate
Agentic Frameworks · 636.1M monthly visits

Codegate is an open-source security gateway and multiplexing framework for AI agentic systems. Developed by Stacklok, it provides secure workspaces and policy-based access control, enabling developers to build and manage complex multi-agent applications safely and efficiently.

VS
Sylph AI
Libraries · 22.5K monthly visits

Sylph AI is a development platform designed to maximize the potential of LLM applications. It features AdalFlow, a leading open-source library for building and auto-optimizing LLM task pipelines, and an AI Teammate that provides expert guidance throughout the entire development workflow, from ideation to production.

codegate vs Sylph AI: pricing, features, traffic, and use cases

Compare codegate and Sylph AI across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

codegate Product overview

Codegate is an open-source security gateway and multiplexing framework for AI agentic systems. Developed by Stacklok, it provides secure workspaces and policy-based access control, enabling developers to build and manage complex multi-agent applications safely and efficiently.

Preview

Sylph AI Product overview

Sylph AI is a development platform designed to maximize the potential of LLM applications. It features AdalFlow, a leading open-source library for building and auto-optimizing LLM task pipelines, and an AI Teammate that provides expert guidance throughout the entire development workflow, from ideation to production.

Preview

Detailed feature comparison

FeaturecodegateSylph AI
Primary categoryAgentic FrameworksLibraries
Added2025-08-162025-08-16
PricingFreeFreemium
Official websitegithub.comwww.sylph.ai
Product typeAppWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits636.1M22.5K
Monthly growth0.8%-13.2%
Favorites108136
DetailsView detailsView details

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

Monthly visits
636.1M
Avg. visit duration
6:23
Pages per visit
5.92
Bounce rate
36.46%
Data updated 2026-06-11

Monthly traffic trend

  • 2026/1: 542.6M Monthly visits
  • 2026/2: 534.8M Monthly visits
  • 2026/3: 634.3M Monthly visits
  • 2026/4: 631M Monthly visits
  • 2026/5: 636.1M Monthly visits

Top regions

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

Traffic sources

Source typePercentageTraffic
Direct82.14%522.5M
Referral16.14%102.7M
Email1.72%10.9M

Search keywords

githubgithub copilothermes agentzapretзапрет

Sylph AI monthly traffic:

Latest traffic

Monthly visits
22.5K
Avg. visit duration
0:31
Pages per visit
2.1
Bounce rate
36.32%
Data updated 2026-06-11

Monthly traffic trend

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

Top regions

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

Traffic sources

Source typePercentageTraffic
Direct75.46%16.9K
Referral24.54%5.5K

Search keywords

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

Automation
Agentic Frameworks
Security

Sylph AI Core features

Automation
Libraries
Llm

Use cases

codegate Use cases

AI agent
automation
developer tools
open source
python
agentic framework
AI security
DevSecOps
kubernetes
security gateway

Sylph AI Use cases

AI agent
automation
developer tools
open source
python
llm
model fine-tuning
optimization
pipeline
prompt engineering

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 “Agentic Frameworks”, while Sylph AI is primarily listed under “Libraries”, 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: Agentic Frameworks; Sylph AI: Libraries); 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: Automation; shared tags: AI agent, automation, developer tools, open source, and 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 Agentic Frameworks, Security, agentic framework, AI security, DevSecOps, kubernetes, and security gateway; Sylph AI's are Libraries, Llm, llm, model fine-tuning, optimization, pipeline, and prompt engineering. 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 “Agentic Frameworks” and especially Agentic Frameworks, Security, agentic framework, AI security, DevSecOps, and 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 “Libraries” and especially Libraries, Llm, llm, model fine-tuning, optimization, and 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.

Comparison FAQ

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.

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