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Agentfield
Orchestration · 19.1K monthly visits

Agentfield is an open-source control plane designed for building and running autonomous AI agents as scalable, observable, and identity-aware microservices. It provides Kubernetes-like orchestration, cryptographic identity management, and production-ready infrastructure to bridge the gap between AI prototypes and robust, trustworthy production deployments.

VS
Regent
Code Quality · 4.3K monthly visits

Regent is a version control system specifically designed for AI coding agents. It tracks every action, prompt, and change made by agents like Claude Code and Codex, allowing you to audit, blame, undo, and replay agent sessions locally, providing an essential layer of oversight for AI-driven development.

Agentfield vs Regent: pricing, features, traffic, and use cases

Compare Agentfield and Regent across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 18, 2026

Product overview

Agentfield Product overview

Agentfield is an open-source control plane designed for building and running autonomous AI agents as scalable, observable, and identity-aware microservices. It provides Kubernetes-like orchestration, cryptographic identity management, and production-ready infrastructure to bridge the gap between AI prototypes and robust, trustworthy production deployments.

Preview

Regent Product overview

Regent is a version control system specifically designed for AI coding agents. It tracks every action, prompt, and change made by agents like Claude Code and Codex, allowing you to audit, blame, undo, and replay agent sessions locally, providing an essential layer of oversight for AI-driven development.

Preview

Detailed feature comparison

FeatureAgentfieldRegent
Primary categoryOrchestrationCode Quality
Added2025-12-132026-05-23
PricingFreeFree
Official websiteagentfield.aiwww.re-gent.dev
Product typeWebsiteApp
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits19.1K4.3K
Monthly growth9.5%Not verified
Favorites616
DetailsView detailsView details

Agentfield vs Regent monthly traffic

Compare Agentfield and Regent by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Agentfield vs Regent monthly traffic comparison, Agentfield currently shows 19.1K visits and Regent shows 4.3K; Agentfield has about 4.4 times the visible traffic of Regent, an absolute difference of about 14.8K visits. This reflects visible reach, not feature quality or paid users.

Only Agentfield has complete third-party traffic details; Regent uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

Agentfield monthly traffic:

Latest traffic

Monthly visits
19.1K
Avg. visit duration
0:38
Pages per visit
2.12
Bounce rate
43.47%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 33.2K Monthly visits
  • 2026/2: 11.4K Monthly visits
  • 2026/3: 16.3K Monthly visits
  • 2026/4: 17.4K Monthly visits
  • 2026/5: 19.1K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇮🇳India26.5%5.1K
🇻🇳Vietnam23.74%4.5K
🇺🇸United States16.68%3.2K
🇧🇷Brazil16.55%3.2K
🇮🇩Indonesia16.53%3.2K

Traffic sources

Source typePercentageTraffic
Direct89.77%17.1K
Referral6.84%1.3K
Email3.39%647

Search keywords

agent fieldagent-fieldagentfieldagentfield aiagents field

Regent monthly traffic:

Latest traffic

Monthly visits
4.3K
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Agentfield and Regent

Agentfield Core features

Orchestration
Agent Frameworks
Identity Management
Backend

Regent Core features

Code Quality
Version Control

Use cases

Agentfield Use cases

ai agents
developer tools
open source
Audit Trails
Autonomous Software
backend
distributed systems
go
IAM
identity management
kubernetes
LLM integration
microservices
observability
orchestration
python
scalability
typescript
Verifiable Credentials

Regent Use cases

ai agents
developer tools
open source
CLI tool
code-audit
debugging
version control

Best suited roles

Agentfield Best suited roles

DevOps Engineer
Software Developer
Technical Lead
AI Engineer
Cloud Architect
Compliance Officer
Product Manager (AI/ML)

Regent Best suited roles

DevOps Engineer
Software Developer
Technical Lead
QA Engineer

Agentfield vs Regent:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Agentfield vs Regent comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Agentfield is primarily listed under “Orchestration”, while Regent is primarily listed under “Code Quality”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Agentfield: Orchestration; Regent: Code Quality); Product type (Agentfield: Website; Regent: App); Monthly visits (Agentfield: 19.1K; Regent: 4.3K); Favorites (Agentfield: 61; Regent: 6); Website (Agentfield: agentfield.ai; Regent: www.re-gent.dev). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Agentfield vs Regent monthly traffic comparison, Agentfield currently shows 19.1K visits and Regent shows 4.3K; Agentfield has about 4.4 times the visible traffic of Regent, an absolute difference of about 14.8K visits. This reflects visible reach, not feature quality or paid users.

Only Agentfield has complete third-party traffic details; Regent uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Agentfield and Regent currently overlap in shared tags: ai agents, developer tools, and open source; shared roles: DevOps Engineer, Software Developer, and Technical Lead. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Agentfield's unique categories/tags are Orchestration, Agent Frameworks, Identity Management, Backend, Audit Trails, Autonomous Software, backend, and distributed systems; Regent's are Code Quality, Version Control, CLI tool, code-audit, debugging, and version control. 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

Agentfield has no verified rating, 0 comments, 61 favorites, and 62 likes;Regent has no verified rating, 0 comments, 6 favorites, and 8 likes。

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

Selection guidance by actual need

When to evaluate Agentfield first

Put Agentfield on the priority trial list when the task aligns with “Orchestration” and especially Orchestration, Agent Frameworks, Identity Management, Backend, Audit Trails, and Autonomous Software, or the users include AI Engineer, Cloud Architect, Compliance Officer, and Product Manager (AI/ML). This follows recorded positioning and does not imply unlisted capabilities are absent.

Agentfield also currently records: pricing is free, product type is website, 19.1K 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.

When to evaluate Regent first

Put Regent on the priority trial list when the task aligns with “Code Quality” and especially Code Quality, Version Control, CLI tool, code-audit, debugging, and version control, or the users include QA Engineer. This follows recorded positioning and does not imply unlisted capabilities are absent.

Regent also currently records: pricing is free, product type is app, 4.3K on-site monthly views, 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 Agentfield and Regent, 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 Agentfield and Regent?
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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