
ContextVault: Shared memory for AI systems
一次存储共享记忆,在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
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一次存储共享记忆,在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team

使用AI代理团队构建和部署应用程序。
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.

给AI代理提供独立的电子邮件账户和持久收件箱。
shim2k · HN
Email for Agents with 1 Prompt

安全共享代码和文本,支持端到端加密和AI助手持久记忆。
u/clausyn · Reddit
I built Pastepile because I was tired of re-explaining the same context to Claude and Cursor I originally built Pastepile as a fast way to share code, logs, configs, and text without creating an account. While using AI coding tools, I kept running into another problem: every new session meant explaining the same architecture, decisions, debugging history, and project context all over again. So I added an MCP server that lets Claude, Cursor, Windsurf, VS Code, and other MCP clients save us

用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse

结合人类和AI智能体执行和管理项目的平台。
@1T31062175 · X

用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans

Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

在自有硬件上部署和运行 AI 代理的 IDE。
u/EagleApprehensive · Reddit
I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc

为多智能体AI管道提供时间旅行调试功能
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines

在平台上管理和同步你的AI Agent技能配置,避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.

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?