nowfound

Alternatives

Products that do what EigenCloud AgentKit does

Build sovereign agents in minutes

  1. 1

    Give every customer their own Hermes or OpenClaw agent

    Jun 2026 · agent37.com

  2. 2

    Deploy your AI Agents in 60 seconds

    Mar 2026

  3. 3
    Asteroid166

    Build Browser, Linux and Windows AI agents in seconds

    May 2026 · asteroid.ai

  4. 4
    Clawdi283

    Best home for all AI agents

    Apr 2026 · clawdi.ai

  5. 5

    Build & scale AI \ agents as microservices with IAM

    Dec 2025

  6. 6

    Agents that ship real code

    Apr 2026 · open-agents.dev

  7. 7

    Google's platform to run AI agents at enterprise scale

    Apr 2026 · cloud.google.com

  8. 8

    Build production agents with harness and sandbox

    Apr 2026 · openai.com

  9. 9

    Build AI Agents. Run Them Anywhere.

    Feb 2026

  10. 10

    Build multi-agent systems with Google's open framework

    2025

  11. 11AO

    I'm working on a coding agent for building iOS apps. It's built on openspec and xcodebuildmcp. It's free and open source.

    Apr 2026 · github.com

  12. 12

    Build your own stateful agent framework

    2025

  13. 13
    Portals118

    AI Agent Builder Toolkit

    2025

  14. 14

    Run agent workflows the community already built

    Apr 2026 · epismo.ai

  15. 15
    Lunen.ai112

    Build AI agents your whole team can run, and control

    Jul 2026 · lunen.ai

  16. 16

    Skip the setup and run OpenClaw & Hermes, fully managed

    17d ago · cloudways.com

  17. 17
    Velane95

    Cloud for your AI Agent's tools and functions

    Jul 2026 · velane.sh

  18. 18

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

    May 2026 · app.aihive.global

  19. 19

    Deploy and Host AI Agents for $1/month

    Mar 2026

  20. 20

    Managed cloud for open-source AI agents

    Jul 2026 · mantlecore.ai

  21. 21HO

    I'm Josh, founder of Synth. We've been working on coding agent optimization with method like GEPA and MIPRO (the latter of which, I helped to originally develop), agent evaluation via methods like RLMs, and large scale deployment for training and inference. We've also worked on patterns for memory, processing live context, and managing agent actions, combining it all in a single stack called Horizons. With the release of OpenAI's Frontier and the consumer excitement around OpenClaw, we think the timing is right to release a v0. It integrates with our sdk for evaluation and optimization but…

    Feb 2026 · github.com

  22. 22KS

    Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…

    Feb 2026 · github.com

  23. 23

    AI coding agents that run on your machine, not the cloud

    Mar 2026

  24. 24RA

    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

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