面向 OA、ERP、CRM、工单等企业系统快速构建智能体,让 AI 在权限、审计与治理约束下安全调用真实业务能力。Build agents quickly for enterprise systems such as OA, ERP, CRM, and ticketing, enabling AI to safely call real business capabilities under permissions, audit, and governance controls.
Open source previs software in the browser: block a scene, pose characters, author camera moves and cuts, then take the same shots to an AI video model.
AI-assisted PCB design for KiCAD 10. Native KiCAD plugin - a single Rust binary exposing 171 schematic, layout, routing, design-review, and manufacturing tools to Claude, or the LLM of your choosing
Self-hosted AI runtime for multi-agent orchestration with heartbeats, schedules, delegation, memory, and runtime skills across OpenClaw, Claude Code, Codex, Gemini CLI, and major LLM providers. Ships as a desktop app (Electron) and CLI.
Up to 3× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding - Gemma-4, Qwen3, Ornith-1.0, ternary Bonsai-27B.
A curated collection of machine learning and AI lecture notes from the world's leading universities. This repository gives you access to the same lecture notes used by students at top institutions such as MIT, helping you learn from the very best educational resources available.
Open-source CMA-compatible agent runtime. Run multi-agent systems locally with any model (Ollama/vLLM/Claude/GPT), MCP tools, scenario templates, and a beautiful dashboard. One command start. Built for enterprise teams.
Real-time OSINT command center monitoring the Middle East conflict - 50+ live open-source intelligence sources (news, Telegram, military aircraft & naval tracking, missile alerts, prediction & defense markets) in one dashboard. No API keys. Free. Next.js + TypeScript.
A local-first desktop workspace for running, organizing, and resuming multiple coding agents and shells with real PTYs, split panes, persistent layouts, and local session history.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run - locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..
Self-maintaining, Obsidian-compatible knowledge base for pi - turn raw sources into an interlinked wiki that compounds. Native Open Knowledge Format (OKF) v0.2.
Multi-agent AI pipeline that turns one line of text into a finished short-form drama: script, cinematic storyboards, character-consistent video. Provider-agnostic (OpenAI/Claude, MJ, Minimax, Veo/Sora, fal, ComfyUI). MIT.