
Rafter — shared ways of working for your firm
Rafter 让团队将工作流程转化为可复用的 AI 代理和技能,在现有工具中运行。
kristohb · HN
Rafter – an MCP server that shares one team's memory, skills and agents
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Rafter 让团队将工作流程转化为可复用的 AI 代理和技能,在现有工具中运行。
kristohb · HN
Rafter – an MCP server that shares one team's memory, skills and agents

Freilot — 用AI检测和解决货运异常、货物索赔和计费纠纷。
@maxantonov89 · X
Building - AI Copilot for Freight Exceptions. Logistic teams spend time and lose money, we help that keep track of everything in 1 place.

为 AI 代理、脚本和 CI/CD 管道添加人工审批,支持持久收件箱和安全回调。
u/king4queen · Reddit
Human Approval (HITL) for AI and autonomous system. I kept running into the same annoying problem with scripts and automations: Everything works fine until the software needs a human. Then suddenly I’m building the same stuff again: send a Slack/email notification save some pending state wait without losing the workflow show enough context to make a decision approve/reject/answer something somehow send that answer back handle retries, timeouts and duplicates So I start

在统一终端界面中协调多个 AI 编码代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

追踪目标和失败的LLM智能体,跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

购买和测试AI代理来自动化繁琐的商业和生活任务。
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.

为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk

多智能体LLM系统的可视化编辑器,支持本地推理。
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets