The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
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Updated
Mar 10, 2026 - TypeScript
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
⭐ All-in-one AI companion! Super Agent Party = Self hosted neuro sama + openclaw! ⭐ 全能AI伴侣!超级智能体派对 = 自托管neuro sama + openclaw!
7×24 Desktop AI Agent for Everyone. Visual AI assistant with remote access, file management, and built-in AI browser.
Open Cowork - Opensource Claude Cowork for Windows & macOS.
BitFun is a next-generation AI assistant with built-in Code Agent and Cowork Agent. It has memory, personality, and the ability to evolve over time. You can remotely control the desktop through mobile QR pairing or Telegram / Feishu bots, send instructions, and watch each execution step in real time while the Agent keeps working in the background.
Open-source, local-first alternative to Cowork-style computer assistants: real PTY terminal ops, explicit approvals, JSONL audit logs. Windows + Linux + macOS. Model agnostic.
Goodable is a local-first Desktop AI Workspace (Desktop Agent Runtime) powered by Claude Agent SDK, combining OS/file control, browser automation, and coding into composable Skills (tool + app modes) to build, run, and publish real AI apps.
Lightweight self-hosted AI agent. Open-source OpenClaw alternative in Go.
Run Claude Desktop’s Cowork mode natively on Linux — no macOS or VM required
Complete documentation for Claude Cowork - 43 workflows, 70 prompts for knowledge workers and small businesses
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill creation, scheduled tasks — OpenClaw for your desktop. Raise your AI lobsters 🦞
Loom is a harness stack, primarily for local LLMs, to finish complex tasks. It decomposes work, drives execution through a verified harness, and keeps models on track with structured state instead of chat history. It can route between thinking and acting models, verifies outputs, and exposes a TUI/API/CLI/MCP for both humans and agents.
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