
ClawMaven — The Governance Intelligence Layer for AI Agents
在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · X
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在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · X

将编码任务根据复杂度自动路由到最便宜的Claude模型。
@viiforwinn · X
Hey, let's connect! 🚀 I got tired of the manual grind (picking Claude models, checking diffs for secret leaks, and guessing agent parallel counts), so I automated all three. Built kodemux—it's completely free and open source:

MCP协议任务队列,让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

搜索结果 API,作为 SerpApi 的替代方案,具有 CLI 和 agent 集成功能
@javimosch · X

ARGUS:为AI代理流程的可观测性平台,检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

从浏览器或手机管理编码代理,支持多台机器同步。
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.

为 AI agents 提供请求人工批准的结构化方式,支持安全重试和决策验证。
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?

与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

跨提供商治理、追踪和防护 AI 代理的安全平台
camsjams · HN
Lineation – One security control plane for all agents

检查AI代理输出和操作是否符合策略,获得批准、拒绝、重写或升级决定。
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a

AI代理的运行时安全网关,在执行前检查并批准所有操作。
@chlorosagent · X
— a security gate for AI agents that checks every action before it fires, so a bad instruction can't make your agent send money, delete data, or do anything you can't undo.