Alternatives
Products that do what Sockt does
Compute for Agents, Not Their Owners
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Jul 2026 · github.com
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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
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Jun 2026 · agtchain.io
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Local AI agent guardrails, budgets, & circuit breakers.
Jun 2026 · stackmint.ai
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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
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Hey folks, I wanted to share Agenthost.ai -- a platform I built that makes it easy to create and host custom agents on your website with payment processing through Stripe built right in. I know everyone is excited about the OpenAI's Appstore like GPTStore coming this week but I'm more excited about a more web-like model. A world where you can create your agent, put it on your website, decide how much you want to charge for certain features, and then let others come and discover it. No need to worry about the platform deciding to compete with you and using your data to train its models. So…
2024 · agenthost.ai
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Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven. In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days. Most modern coding agents already go beyond single prompts. They can plan steps, write files, run…
Jan 2026 · marketplace.visualstudio.com
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