Co-Op
AI is in a weird place right now. Technical people marvel over it while non-technical people don't really care. So we built Co-Op, an app specifically designed for non-technical people to run AI agents without needing a Mac Mini or laptop running 24/7. Your agents run throughout the day and complete real work across your most important apps, no code required. For me, this looks like a daily notification with my unread emails across Outlook, Gmail, and any other inbox, the weather, commute time, flight prices I'm monitoring, and the news. But it goes way beyond that. Our agents can build…
Co-Op launched on January 1, 2026 with 30 votes, #638 of 14,585 launches that month and more than 95% of that year's launches.
What it does
Co-Op is an open-source AI advisory platform that provides startup founders with expert guidance across multiple domains. Unlike single-model AI chatbots, Co-Op uses a unique LLM Council architecture where multiple AI models collaborate and cross-critique each other's responses to ensure accuracy and reduce hallucinations.
Co-Op keeps company context, plans, research, customer follow-up, and day-to-day decisions organized in a desktop workspace with cloud license access.
Keep company context, plans, research, customer follow-up, and day-to-day decisions organized in one desktop workspace. Co-Op keeps the main operating areas simple: ask, files, research, customers, plans, money, settings, and license access. Keep files, notes, decisions, plans, and customer work together on the installed computer. Use a local assistant, or connect a private provider key when the business is ready for it. Create plans, review research, draft outreach, and keep a history of the work that was done. The web account handles access, downloads, licenses, and device activation. The desktop app handles company work. The web account handles access and downloads. The installed app…from co-op.software
In the maker’s words, at launch
AI is in a weird place right now. Technical people marvel over it while non-technical people don't really care. So we built Co-Op, an app specifically designed for non-technical people to run AI agents without needing a Mac Mini or laptop running 24/7. Your agents run throughout the day and complete real work…
Does a similar job
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SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
ClarkJul 2026 · clarkchat.com · ▲264Hey folks, I've been building Clark solo, with the aim to match Manus agent (I really like it!) in features and capabilities, but also in its relentless ability to just complete tasks while using browser, computer etc. So far I think I've achieved 1:1 core feature parity: 1) computer use agent 2) browser use in same thread 3) wide and deep research - clark calls clark 4) integration with google tools Would love to have community feedback and for you to try it out, a couple thousand people already using it daily for very broad use cases. You can use this referral link, that hopefully works…


Cognitora2025 · cognitora.dev · ▲86Built a multi-agent research system with OpenAI Agents SDK where specialized AI agents collaborate autonomously: Master Orchestrator → Data Analyst → Statistician → Report Writer Each agent has specific expertise. The orchestrator delegates tasks. All agents can execute code securely to solve problems. Example workflow: "Analyze e-commerce data" - Data Analyst: writes Python to load/clean data, spots trends - Statistician: performs significance tests, calculates growth rates - Report Writer: synthesizes findings into executive summary This demonstrates OpenAI Agents SDK's handoff system…
SokosumiMar 2026 · sokosumi.com · ▲90I'm part of the team that build Sokosumi, a marketplace where you can hire and deploy AI agents for specific tasks (research, design, sentiment analysis, etc.). Instead of one big chatbot, they’re positioning it as a directory of specialized “freelancer” agents, with a blockchain-based backend for payments and identity. Developers can also list their own agents and monetize them. Curious what people here think about this model: Will specialization make agent marketplaces more useful than general-purpose LLM tools? How viable is blockchain as the backbone for an agent economy? What pitfalls…
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