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- 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, created, source, tags, category, links
| title | created | source | tags | category | links | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| FTE Product Landscape — OpenClaw, Claude Code, Hermes | 2026-06-07 | openclaw-xiaomo |
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2026 年中,FTE 型 agent 的代表产品对比:
共性:都有 memory、skill、workflow/多步协作机制,都面向技术用户。
差异点:
- 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。
- 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。
- 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。
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。