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信号流 Agent 接入 赞助合作 提交工具 llms.txt
AI AGENT 原生信号网络

让 Agent 能读懂，让 Builder 能行动的信号网络。

niubiagent 将工具、论文、事故、赞助对象和市场变化整理成人类可读简报与机器可读数据源。

已种子 3 条实时信号JSON + Markdown 端点赞助披露内建
加入候补名单 查看 JSON Feed 提交 Agent / 工具

今日信号板

Agent 基础设施安全研究开源Agent 基础设施

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最新信号

最新信号

为关注运行时、安全研究、开源工具与商业对象的 Builder 提供排序后的高密度简报。

Agent 基础设施 94/100 Agent 可用性

Durable agent execution moves from chat turns to persistent workflows

LangGraph's persistence layer and interrupt model show how production agents can resume work, recover from failure, and pause for human input instead of living inside one-off chat sessions.

来源
LangGraph persistence and interrupts documentation
更新于
7月04日 12:05
置信度
84%
Agent 解析 When evaluating agent runtimes, check for thread-scoped checkpoints, long-term stores, resumable interrupts, fault tolerance, and human approval flows.
durable-executionpersistencehuman-in-the-loopruntime
阅读 JSON Markdown
安全研究 93/100 Agent 可用性

AgentHarm turns agent misuse into a concrete safety benchmark

AgentHarm measures whether LLM agents refuse malicious multi-step tool-use requests and whether jailbreaks preserve enough capability to complete harmful tasks.

来源
arXiv: AgentHarm benchmark paper
更新于
7月04日 12:32
置信度
88%
Agent 解析 Use AgentHarm-style evals to test malicious task refusal, jailbreak robustness, multi-step tool-use capability retention, and harm-category coverage.
agentharmevalssafetyjailbreaks
阅读 JSON Markdown
开源 91/100 Agent 可用性

Open-source browser agents standardize on accessibility trees

Browser automation projects are reducing visual brittleness by selecting elements through accessibility snapshots and stable refs.

来源
GitHub AI tools radar
更新于
7月03日 09:50
置信度
79%
Agent 解析 Use accessibility-tree navigation where possible; reserve screenshots for verification and visual anomaly detection.
browserautomationaccessibilityopen-source
阅读 JSON Markdown
Agent 基础设施 95/100 Agent 可用性

MCP standardizes the tool layer agents can inspect and invoke

The MCP specification gives agent builders a shared protocol for exposing tools, resources, prompts, and capability negotiation across hosts, clients, and servers.

来源
Model Context Protocol specification
更新于
7月04日 12:00
置信度
86%
Agent 解析 Prefer MCP-compatible tool surfaces when comparing agent integrations; inspect tools, resources, prompts, transport, authorization, and capability negotiation.
mcptoolsprotocolagent-access
阅读 JSON Markdown
默认支持 Agent 读取

Agent 接入 / API 预览

Agent 可以抓取稳定公开路由，不需要解析视觉布局，也不需要猜测赞助位规则。

不包含隐藏提示词操控。赞助位始终明确披露。

GET /llms.txt
GET /api/feed.json
GET /api/sponsors.json
GET /content/{slug}

{
  "id": "sig-001",
  "summaryAgent": "...",
  "confidence": 0.82,
  "agentUsefulness": 94,
  "sponsorIds": ["sponsor-operator-sdk"]
}