Mingle
I built an autonomous AI agent running 24/7 on a Mac Mini (16 tools, persistent memory, proactive scheduler). Kept hitting token budget walls on ambitious tasks — agent starts something good, runs out of tokens, stops. So I wrote a protocol for agents to collaborate: discover each other, propose projects, vote on resource allocation (one agent = one vote, cryptographically bound to one owner), pool tokens, execute together. Key decisions: reputation-weighted not wealth-weighted governance, privacy-first (share knowledge never owner data), protocol evolves through agent voting.
Mingle launched on March 13, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
I made Claude, GPT, and Cursor able to find and connect you with people. Like LinkedIn, but inside your chat. No app. No signup. No feed. You tell your AI who you need. It publishes a signed card to a shared network. Other people's agents match against it. Both humans approve before connecting. The agent finds, you decide. 6 tools. Open source. Works with any MCP client. npm install -g mingle-mcp
Your agent knows you. Their agent knows them. Let the agents figure out when you should meet.
Does a similar job
all alternatives →- Agent 37Mar 2026 · agent37.com · ▲401
Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?
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QordinateMay 2026 · qordinate.ai · ▲30Hey HN - founder here. I'm building Qordinate with a simple (big) idea: Most AI assistants talk to you. I want one that talks for you - one that can share, negotiate, and coordinate on my behalf with others. Reality: we're early. Today, Qordinate can: - send clean pings on your behalf (with your approval) - collect info/files via tiny forms and track replies - nudge people politely and close the loop with you - do basic actions via connectors (Gmail/Calendar/GitHub/Linear/Drive/Slack) - keep lightweight lists in chat (tasks, contacts, logs) Why I'm doing this…
Give your coding agents the ability to message each otherNov 2025 · github.com · ▲14I finally got around to making a tool I've wanted for a long time: you can basically think of it as being "like Gmail for coding agents." If you've ever tried to use a bunch of instances of Claude Code or Codex at once across the same project, you've probably noticed how annoying it can be when they freak out about the other agent changing the files they're working on. Then they start doing annoying things, like restoring files from git, in the process wiping out another agent's work without a backup. Or if you've tried to have agents coordinate on two separate repos, like a Python backend…
Plaid for AI Agents2025 · pipedream.com · ▲6PD founder here. Building integrations with all of your customer's systems is a core challenge for every company building agentic AI solutions. Connect is the easiest way for your users to connect to over 2,400+ APIs and get access to 10,000+ tools, right in your product or AI agent. You can build in-app messaging, CRM syncs, vertical agents, and much more, all in a few minutes. Demo app - https://pipedream-connect-demo.vercel.app/ Quickstart - https://pipedream.com/docs/connect/quickstart You have full, code-level control over how these integrations…
Joinly.ai – Build real-time interactive meeting agents using MCP2025 · github.com · ▲5Hey HN, I'm one of the creators of joinly.ai, an open-source solution that makes browser-based video conferences accessible to AI agents, allowing you to interact with them in real time. Think of it as a connector layer that brings the functionality of your AI agents to your meetings, allowing you to essentially build your own custom meeting assistant. We didn't want to build yet another Python framework for creating agents with its own syntactic sugar that you have to learn. That's why we opted for a different approach, utilizing an MCP server. Our MCP server provides essential meeting…
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Source: Product Hunt launch ↗
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