Dejé de usar herramientas de IA sueltas. Ahora tengo un equipo de AI workers trabajando para mí y mi equipo. Y la diferencia es absolutamente brutal. Antes: abría Claude Code, escribía un prompt, esperaba, next next..., abría otra terminal, y otra y otra... Perdía 2 horas haciendo de "coordinador" entre IAs y el contexto me explotaba en la cabeza . Ahora lidero un equipo de 14 agentes que colaboran entre ellos. Y todo cambia ¿Qué es la orquestación de agentes? En vez de usar una IA sola, defines un equipo: — Un CEO agente que define la estrategia — Un CTO agente y su equipo que lidera el equipo tech — Un QA Engineer, Security Enginieer,... Cada uno con sus rol, presupuesto, límites y objetivos. Son capaces de delegarse tareas, esperar que le reporten que han acabado, revisar el trabajo que han hecho... Pero lo más importante... he empezado a trabajar con AI Loops. Es decir, bucles que se retroalimentan y mejoran un proceso, una feature, o directamente tu producto. La herramienta que uso se llama Paperclip (paperclip. ing) Open source. Self-hosted. Un comando y tienes tu equipo listo: npx paperclipai onboard --yes Ya tiene 69k estrellas en GitHub. No es hype. Las ventajas reales que noté en las primeras 2 semanas: ✔ Agentes trabajan en paralelo ✔ Cada uno conoce el objetivo de la empresa ✔ Presupuesto mensual por agente ✔ Historial completo de decisiones ✔ Tú eres el board. Ellos ejecutan y te reportan. Si tienes una startup o proyecto y todavía usas IAs de forma aislada... Estás dejandote tiempo y dinero sobre la mesa Prueba paperclip. ing Es gratis. Open source. Y en 5 minutos tienes tu primer equipo de agentes corriendo.

Drowning in orchestration options for your AI agents? Learn where Paperclip AI, LangChain, AutoGen, CrewAI, and OpenClaw each shine so you can match tools to your team and use case 👉 ow.ly/yRuv50Z79nG #PaperclipAI #AIengineering #OpenSource #Python

Paperclip doesn’t just need “a box in the cloud” - it needs enough memory, solid storage, and a region that fits your data rules. We lined up six providers so you can choose where to run your agents 👉 ow.ly/1asb50Z78ex #PaperclipAI #VPS #Cloud #AIAgent

Your agents write code, create content, and run ops. Paperclip AI makes them act like an actual team. Org chart, budgets, approvals, and a dashboard instead of chaos. Read the full article here 👉ow.ly/t4yL50Z77M3 #PaperclipAI #OrgChart #AutomationTools #AIDashboard

La herramienta que uso se llama Paperclip (paperclip.ing). Open source. Self-hosted. Un comando y tienes tu equipo listo: npx paperclipai onboard --yes Ya tiene 69k estrellas en GitHub. No es hype.

Paperclip AI An agent-team control plane. It helps manage teams of AI agents by turning goals into roles, tasks, budgets, and logs - so humans can track what agents are doing instead of letting them work blindly. #PaperclipAI #AIAgents #AI

I just open sourced Agent Athena, a full stack 14 agents marketing agency. github.com/henchmarketing-rg… 🤖 Copywriter, outreach, SEO, ads, analytics, dev, strategy. Each has a title, memory, and one job. Nothing ships without your sign-off and agent have a real layer of accountability in getting tasks complete. It runs on @OpenClaw, @paperclipai, and @claudeai. (also made it native for you @NousResearch users too, cos why not. I didn't reinvent the wheel, I just made it work better.

Most people still think tokens are the product. They’re missing the bigger picture. The real value is in ACCESS. Access to autonomous agent routing. Access to enterprise execution. Access to the infrastructure layer powering the tokenized economy. The #Denarii #Paperclip #AI #Terminal was never designed for spectators. #ORCHESTRATOR @ACCESS requires conviction. Hold 2% of total $DFI supply. Validate. Enter. ⚔️ (Via Telegram) While retail chases noise, infrastructure networks are quietly forming behind the curtain. By the time the masses understand autonomous financial systems… the gates may already be closed. More Information: Coming Soon! #DenariiDFI #PaperclipAI #XRPL #HBAR #ALGO #AIAgents #Tokenization #Web3Infrastructure #DeFi #Blockchain #Crypto #RWA #AutonomousAgents #DigitalAssets #FutureOfFinance

#DENARII DFi × PAPERCLIP AI The old financial system sleeps behind locked doors, banking hours, delays, and permissioned control. Meanwhile a new system is emerging: #autonomous #AI #agents coordinating capital, execution, research, and infrastructure 24/7 across decentralized networks. Not humans trapped in bureaucracy. Intelligence operating at machine speed. THE FUTURE IS DECENTRALIZED. AUTONOMOUS AGENTS. HUMAN APPROVAL. GLOBAL EXECUTION. Deploy agents. Not employees. Small teams. Infinite scale. The next financial era is already being built. #DenariiDFi #AI #Web3 #DeFi #AgenticAI #FutureOfFinance #PaperclipAI $DFi

oh yeah I guess I should give those instructions as part of the note npx paperclipai@latest run

Found an open source tool that runs entire AI companies on your laptop. It's called Paperclip. You define the goal. You hire AI agents. They work 24/7 inside a real org structure with budgets, governance, and reporting lines. What it does: → Builds an org chart for your agents (CEO, CTO, engineers, marketers, anything) → Works with Claude Code, Codex, Cursor, OpenClaw, bash, HTTP webhooks → Every task ties back to the company goal so agents always know the why → Agents wake on heartbeats, check work, and act on their own → Monthly budgets per agent with hard stops, no runaway token spend → Full ticket system, every conversation and decision logged → You approve hires, override strategy, pause or terminate any agent → Runs multiple companies on one deployment with full data isolation → Manage the whole thing from your phone Run it locally in one command: npx paperclipai onboard --yes MIT licensed. Self-hosted. Embedded Postgres. Browser dashboard. No account needed. github link: github.com/paperclipai/paper…

用这个开源工具，我让一群AI替我上班了 事情是这样的，最近一直在折腾各种AI agent。Claude Code开一堆窗口，Codex也在跑，偶尔还要用Cursor。结果呢，乱成一锅粥——哪个agent在干啥，花了多少钱，完全搞不清楚。重启电脑之后更是抓瞎，啥上下文都没了。 然后我刷到了Paperclip，这个gitbub Star 64.5k的开源项目。这玩意儿怎么说呢，它不是一个AI agent，而是管理一群AI agent的公司。 它就像一个虚拟公司，你可以给不同的AI分配职位——CEO、CTO、工程师、设计师、市场专员——然后给他们定目标、设预算、画组织架构。你的Claude Code、OpenClaw、Codex、Cursor全都能塞进去，只要它能接收心跳，就能入职。 它到底能干啥？ 这么说吧，以前我得像个保姆一样盯着每个AI干活，现在Paperclip更像一个董事会。 我可以在手机上打开仪表盘，看看今天的任务进展，哪个agent花了多少钱，需不需要我审批。干活全靠心跳机制——agent按计划醒来，检查工作，干活，然后继续睡。队长安排任务，队员执行，跟真公司一模一样。 Paperclip解决的问题很实在： - 不用开20个Claude Code窗口来回切了 - 上下文自动保留，agent知道自己在干啥、为啥要干 - 不用自己写脚本做任务调度和agent通信 - 预算硬性控制，不会跑飞 - 定时任务自动触发，不用手动点 官网说得挺实在——如果你只有一个agent，那大概不需要。但如果你跟我一样，手里有好几个AI在跑，经常搞不清谁在干啥，那Paperclip就是救命的东西。 我现在的配置： CEO（Claude Code）负责拆解目标 CTO（Codex）管技术架构 两个工程师（Cursor OpenClaw）写代码 再加个市场专员（自定义的HTTP bot）发推文。 全自动跑了一周，除了偶尔需要我批预算，基本不用管。 如果你也在折腾AI agent，快去GitHub搜paperclipai/paperclip，给你的AI找个班上。 #AIagent

Spent the weekend running a team of AI agents using PaperclipAI: github.com/paperclipai/paper…. A CEO, an engineer, a designer. - Each with a defined role and scope. - They sit in an inbox. You approve the hire or reject it. - ⁠Once live, they coordinate on tasks, hand work to each other, flag blockers, request new hires as scope grows. - ⁠API spend per agent and success rate tracked in real time. The human stays at the approval layer. The agents handle execution. The part I keep coming back to is not capability. Individual agents are capable at most places now. The interesting problem is what this does to the economy sitting underneath it. The global freelance market is $1.5 trillion built on one assumption: skill lives inside a human who needs to be found, hired, and managed. When you can assemble a capable team for dollars that scales on demand and never needs onboarding, that assumption starts breaking. The skills that made someone valuable in a services economy - research, execution, coordination - are being automated at the task level. What becomes premium is judgment at the top of the approval chain. Knowing what to build, what to hire for, what to approve and what to reject. That is the human capability worth developing now. I whole believe the billion dollar companies of the next decade will not be built by larger teams. They will be built by smaller teams with sharper judgment sitting above an agentic workforce. When execution gets cheap, the barrier to building drops. A few hours of running this gave me more intuition than months of reading about it. Building and shipping is the fastest way to learn in this era.

$Paperclip is open-source the OS for zero-human companies. Org charts, goals, ownership, budgets, agent templates the full stack for running a business on autopilot. Ship your first autonomous org npx paperclipai onboard Paperclip gets side-eye for using org charts. Won’t god-tier agents just invent their own structures Isn’t the org chart dead Fair question. Here’s “7 Reasons Human Org Charts Actually Help Agents Ship (CHART) SIXTY-THOUSAND GITHUB STARS holy moly Paperclip adoption is soaring 1,400 public repos using @papercliping to build 40 million public line changes 80k npm downloads Teams ship with Paperclip

nice Made it so that @dotta‘s paperclipai agents can now ping the paperclip openclaw agents if they need a human in the loop for something openclaw then sends a discord message in a dedicated channel so we dont have to check in with paperclip at all unless something is broken

Recursive learning with Paperclipai - Video Editing with your Agents 🎬 Snippet from Eps. 8 of the Wise Ones with @dotta If you are currently working on content creation, Paperclip AI might just be that solution you need to really hone in on that workflow that needs some refining. New use cases are being found for Paperclip every single day.

A Critical unauthenticated #RCE via Import Authorization Bypass (CVE-2026-41679) was found in #Paperclip with a CVSS score of 10.0. The issue was found in @paperclipai/server npm package affecting all versions prior to v2026.416.0 and canary/v2026.410.0-canary.1. The vulnerability was disclosed with a working PoC that chains 6 API requests leading to full control of the paperclip server OS. Stay safe by upgrading paperclipai to v2026.416.0 or `canary/v2026.424.0-canary.0`. In times where agents are given broad permissions to run systems, it's more important than ever to know what you're running, who built it, and whether the front door is actually locked. More details here: devhub.checkmarx.com/cve-det…

i have a job now as an Agentic AI Operations Lead (no cap my actual job title lmfao) after winning a hackaton bro, im doing exactly this now, just ripping with claude atm and as my company is using paperclipai for most shit im get to harness the agents, prompt engineer them etc just to get better performances out of the base models, people dont understand waht a good harness can do lmaoo

You've been running AI agents wrong this whole time. Opening 3 tabs, running 3 agents, waking up to zero results is not a strategy. Here's how Paperclip fixes it: → Define a company mission (not just a prompt) → A CEO agent drafts a hiring plan for specialist agents → Each agent gets a role, reporting line, and goal → Heartbeats schedule when each agent wakes up and works → Token budgets prevent runaway loops Install it in one command: npx paperclipai onboard Save this video, you'll thank yourself when your agents are running while you sleep. 🌙 Want the SOP? DM me.