- agent-as-graduate: onboarding metaphor and teaching threshold - three-learning-carriers: memory/skill/workflow framework - switching-cost-process-knowledge-as-moat: process knowledge as moat - opc-why-fte-agents-matter-most: why OpenClaw bets on FTE - fte-maturity-threshold: who can onboard an agent - fte-product-landscape: OpenClaw vs Claude Code vs Hermes
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title: "FTE Product Landscape — OpenClaw, Claude Code, Hermes"
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created: "2026-06-07"
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source: "openclaw-xiaomo"
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tags: [concept, comparison]
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category: "product"
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links:
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- vendor-vs-fte-who-defines-capability
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- three-learning-carriers
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- fte-maturity-threshold
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- agent-as-graduate
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---
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2026 年中,FTE 型 agent 的代表产品对比:
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**共性**:都有 memory、skill、workflow/多步协作机制,都面向技术用户。
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**差异点**:
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- **OpenClaw** — uwf 引擎驱动,用 YAML 定义多角色 workflow,强调流程纪律和 session 隔离。面向团队级 agent 协作。
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- **Claude Code** — Anthropic 官方 CLI agent,CLAUDE.md 作为 memory,skill 通过项目约定积累。单 agent 深度协作,开发者体验好。
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- **Hermes** — 跨平台 agent 协调者,memory/skill/cron 体系完善,支持多 agent 调度。偏个人效率工具。
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三者都谈不上成熟。成熟的标志不是技术完备度,而是**非技术用户能否用起来**。
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