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Alternatives

Products that do what Cosine Swarm does

Parallel AI agents for long-horizon, complex software tasks

  1. 1

    The AI teammate for your editor

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    Cosine175

    Your AI Co-developer - Not just an LLM Wrapper

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    Dropstone199

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    Kepler80

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    Manage a team of AI agents that do real work

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    Cortex70

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    cospec86

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  14. 14
    Hopper100

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  15. 15

    Build & scale AI \ agents as microservices with IAM

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    agor102

    Orchestrate multiple AI coding agents with your team

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  17. 17
    AgentOS100

    Manage AI agents, tasks, workspaces from one control layer

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  18. 18
    Swarm1

    AI agents that turn missions into finished work

    22d ago · deck.syctra.com

  19. 19AS

    AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.

    Mar 2026 · agenhq.com

  20. 20

    Run AI Agents at Scale, Reliable and Fast

    Sep 2025

  21. 21RA

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com

  22. 22AM

    Hi HN, Excited to share Agno, a framework and runtime for multi-agent systems. Think of it as FastAPI for AI Agents. At its core is the AgentOS, a high-performance server/runtime that helps you run and manage AI agents, multi-agent teams, and step-based agentic workflows — all inside your own cloud, with full privacy and no external data sharing. What makes it different • Fast & lightweight — Agents instantiate in ~3μs and use ~6.6 KiB of memory on average (tested on M4 MacBook Pro). • Runtime architecture — Async, stateless, horizontally scalable runtime built on FastAPI. • Integrated…

    Oct 2025 · agno.link

  23. 23

    Run, review, and remember work across AI coding agents

    10d ago · agentos.aiutil.com

  24. 24

    We built an open sourced coordination layer for AI agents working on the same repository. Detects work duplication and design conflicts early

    9d ago · twing.dev

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