AI · alternatives · 2026
24 alternatives to AgentSky
Any harness, any LLM — cloud-hosted agents on demand.
AgentSky is a managed service that deploys AI agents in the cloud on demand. Users can launch long-running agents powered by various language models like Claude, Codex, Hermes, or OpenClaw with a single click. The… 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 5 we have checked on their own sites, 4 of them free or with a free tier.
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Agenta▲362Open-source prompt management & evals for AI teams
Nov 2025 · agenta.ai · its alternatives →
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BetterClaw▲307Deploy AI Agent, 60 seconds & $0 forever
Aug 2026 · betterclaw.io · its alternatives →
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Botsify▲284Branded AI agents that browse, code, and execute skills.
2016 · botsify.com · its alternatives →
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AgentKeyfree tier▲400One-stop live data marketplace for your agent
Jul 2026 · agentkey.app · its alternatives →
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Agentlyfree tier, from $33/mo▲336Agently is an AI Work OS where documents, tasks, team chat, and integrations are fully interconnected, and AI employees operate inside that shared workspace. Instead of prompting AI in isolation, agents can read project context, turn strategy docs into tasks, coordinate with teammates, run research/outreach/content workflows, update boards, and push results back into the system or external tools. The workspace acts as persistent memory, so work continues instead of resetting every prompt. Happy to answer any questions
Jul 2026 · agently.dev · its alternatives →
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AgentSea▲439Today we’re excited to introduce AgentSea, a private AI chat built for sensitive work. When you use closed-source AI models, your data can: – be stored – pulled into training pipelines – shared with third parties That might be fine if you’re making memes or drafting LinkedIn posts. But it becomes a serious risk when you’re pasting contracts, health info, financial data, or business secrets. That’s why we built AgentSea. In Secure Mode, all chats run on open-source models or models hosted on our own servers. Your data never leaves, is never used for training, and is never leaked. Agentsea…
2025 · agentsea.com · its alternatives →
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Openbasefree▲216Manage your team of AI agents by voice, from anywhere
Jul 2026 · openbase.cloud · its alternatives →
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AgentConnect▲145Tag any agent, wherever work happens.
Aug 2026 · agentconnect.md · its alternatives →
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Huddle01 Cloudfrom $9/mo▲311Deploy your AI Agents in 60 seconds
Mar 2026 · huddle01.com · its alternatives →
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Skip the setup and run OpenClaw & Hermes, fully managed
Aug 2026 · cloudways.com · its alternatives →
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I’ve spent the last two months building AgenticSeek, a privacy-focused alternative to cloud-based AI tools like ManusAI. It runs entirely on your machine—no API calls, no data leaks. Why AgenticSeek? Optimized for local LLMs (developed mostly on an RTX 3060 running deepseek r1 14b). Truly private: All components (TTS, STT, planner) run locally. More responsive than alternatives (we respond fast to issues + active Discord). Designed to be fun—think JARVIS-like voice control, multi-agent workflows, and a slick web UI. Current Features: Web browsing (research + form filling), code…
2025 · github.com · its alternatives →
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Open Agents▲161OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.
Apr 2026 · open-agents.dev · its alternatives →
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Hey HN! Wanted to show our open source agent harness called Gambit. If you’re not familiar, agent harnesses are sort of like an operating system for an agent... they handle tool calling, planning, context window management, and don’t require as much developer orchestration. Normally you might see an agent orchestration framework pipeline like: compute -> compute -> compute -> LLM -> compute -> compute -> LLM we invert this so with an agent harness, it’s more like: LLM -> LLM -> LLM -> compute -> LLM -> LLM -> compute -> LLM Essentially you describe each agent in either a self contained…
Jan 2026 · github.com · its alternatives →
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Cosmic AI Agents▲145Hey HN, We're Cosmic (YC W19), a headless CMS. Today we're launching Team Agents and the Cosmic Agent. Team Agents are AI-powered team members that live in Slack, WhatsApp, and Telegram. They have names, roles, persistent memory, and real capabilities. Not chatbots. Not one-off prompts. Persistent agents that work alongside your team. Here's what they can do: CONTENT AGENTS write blog posts, landing pages, and marketing copy. They generate images, add SEO metadata, and publish directly to the CMS. Message them in Slack, get a finished post back. CODE AGENTS read your codebase, create…
Dec 2025 · cosmicjs.com · its alternatives →
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AgentReady▲118Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.
Feb 2026 · agentready.cloud · its alternatives →
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NeoAgent▲94AI Agent to Automate Leads, Appointments & Customer Service
Nov 2025 · neoagent.co · its alternatives →
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AgentOS▲100Manage AI agents, tasks, workspaces from one control layer
Jun 2026 · sapienx.app · its alternatives →
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Clawezy▲77Deploy autonomous OpenClaw AI agent servers in seconds
Feb 2026 · clawezy.com · its alternatives →
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
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OpenClaw Alternative — Faster, Secure & 3× Less Token Usage
Apr 2026 · 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 →