- 月访问
- <5K
- 2026 年 9 月
- 公开收入
- 未公开
- 暂无公开收入证据
- 入门价
- 未知
- 收费方式为免费增值,套餐价格尚未识别
- 首次发布
- 7 个月前
- 2026-04-28 · 估算
访问
近 12 个月
营销动作
发布、搜索与内容、引荐、促销第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案Fazier
2026-11-01查看原文
- 核心亮点评测:
- 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.
- 适用人群:
- 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 服务与 Agent 生态
GitHub 开源与智能体接入
流量来源
2026 年 9 月
访问构成
渠道
- 直接访问30%
- 自然搜索25%
- 外部引荐12%
- 展示广告9%
- 其他24%
国家/地区
- 美国100%
搜索
站点权重 —域名注册 2025-11-06
这个网站还没有搜索关键词数据。
流量数据:Vaneform
定价
尚未识别出定价页,或该页面没有公开价格。
页面与变化
开始记录于 2026-04-28
关键页面
每周快照- 首页agentshelf.ai/
- 功能agentshelf.ai/platform 快照 2026-11-03
变化
开始记录以来,定价、套餐与定位都没有变化。
问题与证据
- AgentShelf 的网站访问量是多少?
- Vaneform 估算 2026-09 网站访问量为 <5K。访问量包含重复访问,付费客户数与收入需分别查看对应证据。来源
同分类研究对象
AI 模型与智能体 / 智能体构建平台
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。