Collect first agent research and market sources

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+# Job: 字节 Seed - 大模型 Agent 研究工程师
+
+---
+type: job
+company: 字节 Seed
+role: 大模型Agent研究工程师-Seed
+location: unknown
+source_url: https://jobs.bytedance.com/experienced/position/7628902314323806469/detail
+source_name: 字节跳动招聘
+source_quality: official
+collected_at: 2026-07-08
+posted_at:
+first_seen_at: 2026-07-08
+last_checked_at: 2026-07-08
+snapshot_type: new
+job_code: 7628902314323806469
+previous_snapshot:
+status: unknown
+level: experienced
+team: Seed
+business_area: agent research and engineering
+employment_type: full-time
+salary:
+skills:
+  - agent
+  - memory
+  - context-engineering
+  - planning
+  - multi-agent
+  - llm-application
+topics:
+  - harness
+  - memory
+  - context-compression
+models:
+  - Seed
+related_papers:
+  - 2026-memory-agent-survey
+  - 2026-evomembench
+related_experiments:
+  -
+related_projects:
+  -
+relevance: high
+---
+
+## Source Snapshot
+
+- source: 字节跳动官方招聘页；网页正文由前端渲染，当前采集依赖搜索摘要。
+- collected_at: 2026-07-08
+- availability: URL 可定位到官方岗位页，但需要后续用浏览器或 API 抽取完整 JD。
+
+## Raw JD Summary
+
+搜索摘要显示该岗位负责大模型 Agent 系统研究与工程落地，围绕复杂任务执行持续优化 Agent 效果，关键词包括 harness、memory、context compression、planning/execution、multi-agent。
+
+## Extracted Signals
+
+- hard requirements: agent harness, memory, context compression, planning/execution, multi-agent。
+- hidden signals: Seed 把 Agent 作为研究与工程落地结合的问题，而不是纯应用开发。
+- business direction: 复杂任务执行和通用 Agent 能力。
+
+## Knowledge Links
+
+- concepts: context engineering, agent harness, memory
+- papers: Memory survey, EvoMemBench
+- experiments: context compression comparison
+- projects:
+
+## Gaps for Us
+
+- 需要后续用可重复脚本抓取字节招聘 JS 数据或手动浏览器快照。