nowfound

Alternatives

Products that do what spawnML does

Don't hire testers. Spawn an AI Agent swarm.

  1. 1

    Grow any brand on autopilot with swarms of marketing agents

    2025

  2. 2

    First AI agent automating entire software testing process

    2025 · testsprite.com

  3. 3
    AgentX523

    Evaluate AI agent, pinpoint issues, and fix with one click.

    Jun 2026 · agentx.so

  4. 4

    Build your own cross-vendor multi-agent AI team

    2025 · agentx.so

  5. 5

    Test your AI apps with thousands of digital humans

    2025

  6. 6
    The Swarm698

    Relationships. Are. Back.

    2025 · theswarm.com

  7. 7AS
  8. 8

    Cursor for testers. AI Agents for product and QA teams

    2025

  9. 9

    Agentic testing for the AI-native team.

    Mar 2026 · testsprite.com

  10. 10

    The 1st agent that builds agents

    Sep 2025

  11. 11
    Logic274

    Build and operate fleets of agents

    Apr 2026 · logic.inc

  12. 12

    Parallel AI agents for long-horizon, complex software tasks

    Apr 2026 · cosine.sh

  13. 13

    Build & scale AI \ agents as microservices with IAM

    Dec 2025

  14. 14

    Autonomous AI that builds, writes, and ships for you.

    Dec 2025

  15. 15

    The evaluation and quality layer for AI-native products.

    May 2026 · swarmcheckai.com

  16. 16

    Hiring evaluation built for the AI cheating era

    19d ago · agentr.global

  17. 17

    Build, deploy, and run all your AI agents in one platform.

    May 2026 · app.aihive.global

  18. 18

    Production-tested architecture for autonomous Claude agents

    Apr 2026 · dvdshn.com

  19. 19
    Swarm4

    Run 1–10 AI coding agents from one browser tab

    Jun 2026 · github.com

  20. 20

    No-code marketplace for multi-AI agent workflows.

    May 2026 · swarmseller.com

  21. 21

    Build AI Agents. Run Them Anywhere.

    Feb 2026 · crewclaw.com

  22. 22

    Spawn AI agents that orchestrate any task, no code

    29d ago · xorviex.ai

  23. 23AD
  24. 24OS

    We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…

    Mar 2026 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →