







Lapis One is a dedicated Linux computer for AI agents, built to run 24/7, connect from anywhere, and control other computers with Agent KVM.
kvcache-ai/AgentENV
AgentENV (AENV) is a distributed platform for running agent environments at scale.
agentOS - Everything Agents Need to Run and Operate - Rivet
The complete platform for production AI agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, one platform, deploy anywhere.

AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.

agentOS — A faster, lighter, cheaper alternative to sandboxes
A portable open-source operating system for agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, deploy anywhere.

Hermes Agent — Open-Source AI Agent with Memory, Skills, and Cron
The open-source AI agent from Nous Research with persistent memory, reusable skills, tools, cron jobs, GitHub workflows, and multi-platform messaging.
freestylefly/wesight
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
Agent Plugins
A portable package format for reusable components that extend AI agents.

hyperspaceai/agi
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.
cmux - The terminal built for multitasking
Free and open source macOS terminal for AI coding agents. Works with Claude Code, Codex, OpenCode, Gemini CLI, Kiro, Aider, and any CLI tool.
WeSight - Run CLI Agents from One Desktop App
WeSight is an open-source desktop AI Agent workspace for CLI agents, local runtimes, model providers, permission events, skills, scheduled tasks, memory, and an Obsidian plugin.
What is Agentic AI? Examples, Use Cases, and Platforms [wcyear]
Everything you need to know about agentic AI solutions, including real-life examples of use cases, workflows, and frameworks.

Monitor | Parallel | Parallel Web Systems | Infrastructure for intelligence on the web
Monitor API for AI agents.

Where Should the Agent(s) Live? – OpenComputer
Isolation models, agent placement tradeoffs, credential design, and sandbox lifecycle patterns for agentic systems.

Agentic AI, explained | MIT Sloan
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.
