nowfound

AI · May 5, 2026

SwarmSeller

No-code marketplace for multi-AI agent workflows.

What it does

SwarmSeller is a no-code marketplace where you visually wire multiple AIs together (Claude, GPT-4o, Grok, Gemini, Sonar Pro) and sell the resulting workflow. Drag agents onto a canvas, pick a model for each node, write a prompt, and connect them. One swarm can use Claude to plan, Grok to research with live web search, and GPT-4o to write the final output. If your swarm solves a real problem, publish it to the marketplace and earn up to 75% rev share every time someone runs it.

Does a similar job

all alternatives →
  • The Swarm2025 · theswarm.com · ▲698

    Relationships. Are. Back.

  • Cosine SwarmApr 2026 · cosine.sh · ▲127

    Parallel AI agents for long-horizon, complex software tasks

  • HiveTermMay 2026 · hiveterm.com · ▲86

    One workspace for Claude, Codex, Gemini and your stack

  • SwarmJun 2026 · github.com · ▲4

    Run 1–10 AI coding agents from one browser tab

  • LL
    Lessons learned from running Claude Code swarms at scaleJun 2026 · ▲10

    Some time ago I built a simple app to run swarms of coding agents — I call it fleet (https://news.ycombinator.com/item?id=48256389). It's based on centralized beads with a Python orchestrator and can run any coder (Claude, agy, Codex). Recently I added a UI to manage the whole agent lifecycle: adding new tasks, monitoring running ones, and a chat interface built on MCP with a centralized SQLite DB. From the UI I can spawn agents to run in any directory, define dependencies on other tasks, and specify which coder/model should do the job. Today I can run 10–15 agents…

  • AS

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 19d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 26d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Monid475

    One wallet, every paid tool your agent needs

    AI · 7d ago · monid.ai

  • Turn website visitors into qualified pipeline

    AI · 20d ago · clarasdr.ai

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com