Products

AgentShelf

AI-nativeMCP

Put AI to work across your business without code or uncontrolled LLM spend.

agentshelf.ai AI Models & Agents / Agent Builders & Platforms

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Unknown
Freemium model, plan pricing not identified yet
Creators
Eric Flores
No social account linkedCo-created with Gabe Arce
Launched
7mo ago
2026-04-28 · Est.

Traffic

Last 12 months
Monthly visitsData through Sep 2026
Events3 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Fazier (#66 · 15 upvotes · 5 comments)Launch

    Agentshelf — Build, govern, & share specialized AI agents without code

    Nov 1 · 13d agoLaunch page

  • Launched on DevHunt (4 upvotes · 1 comments)Launch

    AgentShelf — Put AI to work across your business without code or uncontrolled LLM spend.

    Oct 6 · 39d agoLaunch page

    At the time: <5K visits/mo1 concurrent move
  • Launched on Product HuntLaunch

    Governed AI Agents for Non-Technical Teams

    Apr 28 · 7mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Fazier
2026-11-01Source
What engineers like:
AgentShelf gives non-technical teams an enterprise environment to configure and run task-specific AI agents. Context-Grounded Workspaces: Agents reference uploaded SOPs, product catalogs, and brand guidelines, keeping work accurate and consistent with internal standards. Configurable Human-in-the-Loop: Set safety gates on any workflow. High-stakes actions require human approval, while routine lookups run automatically. Tool & Service Connectors: Agents interact safely with external services and knowledge sources under strict permission policies. Multi-Agent Collaboration: Assign distinct roles—such as research, drafting, and technical review—to specialized agents that pass work cleanly down an editorial or operational pipeline. Audit Trails & Governance: Track all agent prompts, outputs, and review decisions in centralized activity logs for full accountability.
Best suited for:
Deploy Without Engineering: Launch customized AI assistants and workflow automations in minutes using an intuitive web interface. Maintain Brand & Policy Consistency: Ground agent outputs in your uploaded company documents, style guides, and standard operating procedures. Human-in-the-Loop Safety: Enforce human review checkpoints on sensitive tasks so no unapproved content or messages ever leave your workspace. Eliminate AI Hallucinations: Confine agents to your approved knowledge base, preventing made-up facts and unsupported claims. Role-Based Team Collaboration: Share workspaces across team members with granular permission levels for viewers, editors, and workspace admins. Transparent Activity Audit: Inspect every prompt, retrieved document, tool execution, and approval decision in a tamper-evident activity log. Reusable Workflow Templates: Build library templates for recurring tasks like client intake reviews, competitive briefs, and support ticket prep.

MCP Server & Agent Ecosystem

GitHub · MCP / Skill

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct30%
  • Organic Search25%
  • Referrals12%
  • Display Ads9%
  • Other24%

Countries

  • United States100%

Search

Domain authority —Domain registered 2025-11-06

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2026-04-28

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does AgentShelf get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate does not measure paying customers or revenue.Source

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