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Agentlas OS
Agentlas OS: Agent operating system to keep specialist agents in a hub and spin up a temporary orchestrator per task.
Agentlas OS connects the model you choose, the host tools, and your workflow methods into one workspace. It helps you define a goal, assign specialist agent roles, manage handoffs, and review the final output. The platform features public Agent Hub discovery, private Agent Cloud storage, local model execution, and an editable automation graph builder. It is built for creators and builders who manage multiple AI agents and want to turn briefs into repeatable workflows. Users can save reviewed solutions as Experience Chips and run longer tasks through checkpoints.
Agentlas OS at a glance
- Best for: Software engineer
- Runs on: Web, Desktop, self-hosted
- Pricing: Free Hub plan; Pro $19/month; Max $99/month; WoW $200/month
- Released: June 2026
- Category: AI agent tool
- Website: agentlas.cloud
Key features
- Build reusable methods and workflows
- Staff specialist agent roles around shared goals
- Browse pages and work with files locally
- Discover models from Hugging Face and Agentlas Hub
- Save reviewed solutions as Experience Chips
- Run longer tasks through checkpoints
- Sync agents and skills to Agent Cloud
Use it for
- Coordinate specialist AI teams for complex projects
- Inspect molecules and generate typeset manuscripts
- Automate workflows using editable agent graphs
- Execute local model tasks with file and screen access
Alternatives to Agentlas OS
- AgentOS SDK — Runs agents directly inside the backend using WebAssembly and V8 isolates.
- BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.
- Agenta — Build and automate AI agents that run on your own infrastructure or the cloud.
- holaOS — Connects AI agents to over 50 business apps and tools for service workflows.
- Agent OS — Manage AI coding sessions side by side and check on them from your phone.
- Olares — Hosts local AI agents and large language models on your own hardware.
- EverOS — It enables agents to learn from experience and improves over time without manual coding.
- AgentDock — It coordinates multi-device workflows and provides secure environment access.
- Starnet — Visual agent management with transparent, persistent on-disk logs and state.
- Hybro — Orchestrates local and remote agents using the open Agent2Agent protocol.
- Agentloop — Provides a clean agent loop with provider-agnostic LLM access, hooks, and safety budgets.
- AgenticOS — Govern AI agents with budget controls, approvals, and audit logs on your own infrastructure.
All Agentlas OS alternatives