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.
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.
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.
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.
Detailed feature comparison
| Feature | Agentfield | Regent |
|---|---|---|
| Primary category | Orchestration | Code Quality |
| Added | 2025-12-13 | 2026-05-23 |
| Pricing | Free | Free |
| Official website | agentfield.ai | www.re-gent.dev |
| Product type | Website | App |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 19.1K | 4.3K |
| Monthly growth | 9.5% | Not verified |
| Favorites | 61 | 6 |
| Details | View details | View 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 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/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 26.5% | 5.1K |
| 🇻🇳Vietnam | 23.74% | 4.5K |
| 🇺🇸United States | 16.68% | 3.2K |
| 🇧🇷Brazil | 16.55% | 3.2K |
| 🇮🇩Indonesia | 16.53% | 3.2K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 89.77% | 17.1K |
| Referral | 6.84% | 1.3K |
| 3.39% | 647 |
Search keywords
Regent monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Agentfield and Regent
Agentfield Core features
Regent Core features
Use cases
Agentfield Use cases
Regent Use cases
Best suited roles
Agentfield Best suited roles
Regent Best suited roles
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?
Where does this comparison data come from?
What do unknown fields mean?
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