nowfound

Alternatives

Products that do what Agentfield does

Build & scale AI \ agents as microservices with IAM

  1. 1
    OpenBox171

    See, verify, and govern every agent action.

    Apr 2026

  2. 2

    Build AI agents you can see, control and scale

    Feb 2026

  3. 3

    Open-source runtime for durable AI agents

    May 2026

  4. 4

    Skip the setup and run OpenClaw & Hermes, fully managed

    17d ago · cloudways.com

  5. 5

    Zero-config hosting to launch specialized AI teams instantly

    Feb 2026

  6. 6

    Build AI Agents. Run Them Anywhere.

    Feb 2026

  7. 7RA

    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

  8. 8

    Run AI Agents at Scale, Reliable and Fast

    Sep 2025

  9. 9OS
  10. 10
    Kuberns40

    The AI agent that deploys and manages your cloud

    Jul 2026

  11. 11

    10x Scaling Without 10x the Work

    2025

  12. 12UA

    Three months ago, we started developing an open source agent framework. We previously tried existing frameworks in our enterprise product but faced challenges in certain areas. Problems we experienced: * We risked our stateless architecture when we wanted to add an agented feature to our existing system. Current frameworks lack server-client architecture, requiring significant effort to maintain statelessness when adding an agent framework to your application. * Scaling problem - needed to write Docker configurations as existing frameworks lack official Docker support. Each agent in my…

    2025 · github.com

  13. 13AA
  14. 14
    AgentZ3

    Zero Trust Platform to Build, Run Govern AI Agents

    12d ago · accuknox.com

  15. 15

    Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…

    18d ago · maritime.sh

  16. 16AT

    Hi Hacker News! We're launching Zalor, an agent testing platform. Agents often break when you tweak system prompts, swap models, or add tools. Zalor automatically generates test scenarios and evaluates your agent so you know it's reliable before deploying to production. We currently support the OpenAI Agents SDK and are onboarding other frameworks. A GitHub integration is coming so you can get feedback on every update. Looking forward to hearing feedback from people building agents.

    Mar 2026 · agents.zalor.ai

  17. 17AA

    Hey HN! I am super excited (and slightly nervous) to introduce AgentServe! AgentServe is a framework to make hosting scalable AI agents as easy as possible. With 4 lines of code AS wraps your agent (any framework) in a FastAPI and connects it to a Task Queue (celery or redis). Why Should You Care? Standardized Communication Pattern: AgentServe proposes that all agents should communicate with each other and the outside world with “Tasks” that can be submitted in a sync or async way. This simple API wil enable Framework Agnostic: No favorites. OpenAI, LangChain, LlamaIndex, CrewAI are all…

    2024 · github.com

  18. 18IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

  19. 19ZO

    ZeroID is an open-source agent identity platform that automates the "plumbing" of RFC 8693 and SPIRE. It ensures that every sub-agent in a chain has a down-scoped, verifiable identity without the manual overhead of managing certificates and token exchanges.

    Apr 2026 · github.com

  20. 20IM

    Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…

    2025 · agentvisa.dev

  21. 21

    Run a fleet of AI agents on your own Kubernetes

    2d ago · agentbarn.dev

  22. 22

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

    8d ago · twing.dev

  23. 23
    Brain8

    A small, blazingly fast and extensible agent runtime

    3d ago · github.com

  24. 24PS

    I didn't want to buy a standalone computer or repurpose a laptop to run constantly so I could maintain a system to sync my LLMs, so I built this. It's a simple overview of my system, laid out in a way easy to unpack and replicate for yourself. The project is meant to be configured individually, and uniquely, since one solution might not be what's best for another. If anything, maybe it gives you some ideas on how to implement things for your own project. Best wishes, Ryan.

    27d ago · pacslate.com

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