All agents

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

The agent that grows with you

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

AI agents running research on single-GPU nanochat training automatically

Make humans and AI agents work as one team — open-source and self-hostable.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click

Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

Tongyi Deep Research, the Leading Open-source Deep Research Agent

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

IronClaw is an Agent OS focused on privacy, security and extensibility

Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig

Autonomous experiment loop extension for pi

"OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/

ClawX is a desktop app that provides a graphical interface for OpenClaw AI agents. It turns CLI-based AI orchestration into a desktop experience without using the terminal. China website is https://clawx.com.cn.

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.

Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat

An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.