Collect first agent research and market sources

industry/industry-insights.md

@@ -6,48 +6,59 @@ status: seed
 
 ## Current Snapshot
 
-- date:
-- scope:
-- sources reviewed:
+- date: 2026-07-08
+- scope: large-company Agent work, engineering blogs, benchmarks, product/technical reports
+- sources reviewed: 9 starter items
+- source mix: official 9
 
 ## Strong Industry Signals
 
--
+- Enterprise Agent 正在从 demo 转向有权限、记忆、评估、trace、安全和平台入口的系统。
+- Computer use/GUI Agent 正在成为主流产品能力，但安全控制必须产品化。
+- Memory 的工业定义正在从“记住信息”转向“通过经验改善流程执行”。
+- Agent debug/eval 正在围绕 trajectory、constraint、failure taxonomy 和 benchmark 构建。
+- 大公司开始把 Agent adoption 当成组织生产力指标看，而不是单一模型能力。
 
 ## Weak or Marketing-heavy Signals
 
--
+- 单纯模型发布里提到 “agent frontier” 但缺少 benchmark、代码或系统细节时，只能作为方向信号。
+- Qwen-AgentWorld 当前抓取到的信息不足，需要补完整正文。
+- Agent usage growth 指标能说明采用趋势，但不能直接说明任务质量。
 
 ## Company Patterns
 
 | Company | Agent Direction | Evidence | Notes |
 | --- | --- | --- | --- |
-| OpenAI | _TBD_ | _TBD_ | _TBD_ |
-| Anthropic | _TBD_ | _TBD_ | _TBD_ |
-| Google DeepMind | _TBD_ | _TBD_ | _TBD_ |
-| Microsoft | _TBD_ | _TBD_ | _TBD_ |
-| DeepSeek | _TBD_ | _TBD_ | _TBD_ |
-| 腾讯 | _TBD_ | _TBD_ | _TBD_ |
-| 字节 Seed | _TBD_ | _TBD_ | _TBD_ |
-| 阿里 Qwen | _TBD_ | _TBD_ | _TBD_ |
+| OpenAI | internal data agent, enterprise adoption, Codex as work agent | in-house data agent, agents transforming work | 系统细节集中在数据 Agent |
+| Anthropic | computer use and coding agents | not yet itemized | 下一轮补 Claude computer use / Claude Code |
+| Google DeepMind | computer use, agent security/control | Gemini computer use, AI Control Roadmap | 安全控制非常值得沉淀 |
+| Microsoft | memory benchmark, failure diagnosis, skill optimization | STATE-Bench, AgentRx, SkillOpt | 评估和工程方法密集 |
+| DeepSeek | Agent integration ecosystem and hiring wave | jobs item, awesome-deepseek-agent source candidate | 需补官方技术资料 |
+| 腾讯 | Agent testing / cloud harness signal | jobs item | 需补技术博客和北京岗位 |
+| 字节 Seed | productivity agent, GUI+MCP, coding agent | Seed2.1 official blog | 与岗位中的 harness/memory/context compression 呼应 |
+| 阿里 Qwen | AgentWorld / world models for general agents | Qwen-AgentWorld queued item | 需补正文和 Qwen3.x agent blogs |
 
 ## Implementation Patterns
 
-- tool use:
-- memory:
-- evaluation:
-- safety:
-- deployment:
-- productization:
+- tool use: API/MCP/function calling 与 GUI/computer use 两条线并行。
+- memory: 从 raw history 转向 structured memory、stateful benchmark、experience consolidation。
+- evaluation: adoption metrics、benchmark、trajectory failure diagnosis、deterministic assertions。
+- safety: defense-in-depth、sandboxing、human confirmation、prompt injection guard、permission gating。
+- deployment: Slack/Web/IDE/CLI/MCP、enterprise platform、internal tools。
+- productization: coding agent、data agent、office/productivity agent、customer support/travel/shopping workflows。
 
 ## Follow-up Queue
 
--
+- Anthropic Claude computer use / Claude Code / model cards。
+- OpenAI workspace agents / Frontier / Codex enterprise coding posts。
+- Qwen AgentWorld and Qwen3.x agent blogs full extraction。
+- DeepSeek official GitHub agent ecosystem and talent site details。
+- Tencent AI Lab / Hunyuan / Yuanbao Agent technical posts。
 
 ## Links Back to Knowledge Base
 
-- docs to update:
-- papers to read:
-- jobs to compare:
-- experiments to create:
-- projects affected:
+- docs to update: evaluation, observability, memory, safety, practice playbook
+- papers to read: OpenAgentSafety, memory survey, EvoMemBench, SWE-EVO, Dialogue-SWEBench
+- jobs to compare: Baidu Agent algorithm/fullstack, DeepSeek Agent hiring, Tencent Agent testing, ByteDance Seed Agent research
+- experiments to create: memory benchmark, trace/failure diagnosis, GUI+MCP workflow
+- projects affected: future knowledge frontend, coding-agent experiments, eval harness