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AI · alternatives · 2026

24 alternatives to Dryade

Run, audit, and replay any AI agents, on any model, locally.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 3 we have checked on their own sites, 3 of them free or with a free tier.

  1. 1
    Buda▲197

    Run a full AI agent team in the cloud — no hardware, no setup. Persistent memory, browser automation, parallel agents. The OpenClaw alternative built for teams. Start free.

    May 2026 · buda.im · its alternatives →

  2. 2
    Rerun▲301

    The easiest way to build AI agents for all your tasks

    Jul 2026 · rerun.build · its alternatives →

  3. 3
    Replicas▲239

    Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…

    Jun 2026 · replicas.dev · its alternatives →

  4. 4
    BU▲138

    Openclaw in the cloud

    Mar 2026 · cloud.browser-use.com · its alternatives →

  5. 5
    Backgrind▲195

    Run your AI agents over any app, even games.

    Jun 2026 · backgrind.com · its alternatives →

  6. 6
    Openbasefree▲216

    Manage your team of AI agents by voice, from anywhere

    Jul 2026 · openbase.cloud · its alternatives →

  7. 7
    Tracea▲80

    Datadog for AI agents with traces, RCA, and team memory

    May 2026 · tracea.dev · its alternatives →

  8. 8
    Agent Sandboxfree tier, from $0.00025/mo▲97

    Your agent's personal remote computer and drive

    Feb 2026 · agentsandbox.co · its alternatives →

  9. 9
    Kopai▲109

    Share your expertise, and let our agents earn for you.

    Sep 2026 · usekopai.com · its alternatives →

  10. 10
    Orite▲76

    Give your AI Agent money. Not a blank check.

    Aug 2026 · orite.tech · its alternatives →

  11. 11

    We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…

    Aug 2026 · coarena.ai · its alternatives →

  12. 12

    Stop repeating the same clicks and typing every day. Record a task once and SkillForge turns it into a skill your AI assistant (Claude, ChatGPT) replays for you. No coding. Free to start.

    Feb 2026 · skillforge.expert · its alternatives →

  13. 13
    WebRun▲42

    AI agents that keep your business running

    2d ago · webrun.ai · its alternatives →

  14. 14

    Skip the setup and run OpenClaw & Hermes, fully managed

    Aug 2026 · cloudways.com · its alternatives →

  15. 15

    Visual debugging, tracing, and replay for agent workflows

    Apr 2026 · agenticlens.in · its alternatives →

  16. 16

    Open-source runtime for durable AI agents

    May 2026 · orkes.io · its alternatives →

  17. 17

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai · its alternatives →

  18. 18

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

    May 2026 · app.aihive.global · its alternatives →

  19. 19
    Bursora▲26

    Cap your AI spend before the bill lands

    Jul 2026 · bursora.com · its alternatives →

  20. 20

    Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

    2025 · okteto.com · its alternatives →

  21. 21
    Clyro▲31

    Control AI agents safely at runtime

    Jun 2026 · clyro.dev · its alternatives →

  22. 22
    Aether▲26

    Since coding agents like Claude Code and Codex came out, I've been pretty obsessed with them. It's hard not to when you're getting a 20x discount on inference. I've also been frustrated by them a lot. I hated walking around with my laptop lid open while connected to a hotspot on my phone, having to tediously accept commands so I don't lose my root directory, and running out of RAM when running multiple agents that were spinning up dev servers in different worktrees at once. A lot of people would say existing cloud agents are the solution to this, as none of the above problems apply to any…

    Jul 2026 · runaether.dev · its alternatives →

  23. 23

    I've been running Claude agents for various automation tasks — monitoring crypto news, syncing Todoist, running health checks — and I kept hitting the same problem: there's no clean way to deploy an agent that just runs on a schedule without a human babysitting it. Every agent framework I looked at was built around chat interfaces or one-shot workflows. I wanted something closer to cron for AI agents — define a task, give it a schedule, let it run forever. So I built Ductwork. You define tasks as simple JSON files — a prompt, a schedule, optional memory and skills — and ductwork handles…

    Mar 2026 · github.com · its alternatives →

  24. 24

    Your AI has your code's text, never its map. Fix that.

    Jun 2026 · luuuc.github.io · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →