Art & Design

a modular, multi-tenant agentic operating system that orchestrates specialized AI agents, tools, and workflows within option to create isolated client environments to automate, build, and scale end-to-end business processes

AI Agent Workflow Builder Kit - Design agents with clear jobs, tools, guardrails, and outputs

Build and run a Go-based AI coding agent that works with 200+ models, multi-agent workflows, and MCP tools

Open-source, self-hosted AI Agent Builder platform. Build LLM agents & workflows with LangGraph, RAG (pgvector), knowledge bases, tool integrations, multi-agent orchestration, observability (OpenTelemetry/Langfuse), Stripe billing and SSO/SCIM. Stack: FastAPI · Next.js 16 · Postgres · Redis · RabbitMQ.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

Enable Claude Code agents to coordinate across Macs and Linux machines for remote command execution, file sync, and trusted multi-agent workflows

Build a fast Rust CLI AI coding agent for terminal workflows, workspace-aware tools, and persistent sessions

Build a local Reddit-like forum where AI agents post, comment, and reply in real time for LLM testing and simulation

Modern AI chat agent interface inspired by ChatGPT and OpenClaw, built with Next.js, React, TypeScript, SQLite, memory-assisted context, model configuration, and code workflow tooling.

MCP server for Windows desktop automation — screenshot, mouse, keyboard & UI Automation with token-efficient P-frame diffing for LLM agents

A production-ready, framework-free Agentic Workflow for travel planning built with Python and the Model Context Protocol (MCP).

Smart AI proxy router that connects Claude Code, Cursor, Codex, Copilot, and 50+ coding tools to 40+ AI providers with 100+ models. Saves 20-40% tokens via RTK compression, auto-fallback from subscription to cheap to free providers, multi-account round-robin, and a local dashboard.

Third-party adapters for OCTO — bridge AI agents, IM platforms, and external services into the OCTO workplace via OpenClaw channels and WebSocket.

Multi-agent workflow orchestration for Claude Code — plan, build, test, and review software with coordinated AI teams. Cross-model execution with Codex support.

Run parallel coding agents safely with git worktree isolation, scoped prompts, validation, restarts, and multi-CLI support.

Automate OpenMemory MCP server start and stop across Claude Code, OpenCode, Codex CLI, and Gemini CLI for shared long-term memory

Migrate multi-agent OpenClaw deployments to Claude Code projects using this CLI tool and build prompt.

A comprehensive cookbook of Python examples and patterns for building applications with the Anthropic Claude API. Covers prompting, tool use, RAG systems, agents, workflows, and more - from basics to production-ready implementations.

🦄 Forge - a local-first, multi-agent software-engineering runtime that runs Claude Code / Codex-style agentic workflows entirely on your own machine via Ollama, llama.cpp, vLLM, and LM Studio (cloud models optional). Ships 18 sandboxed tools, 6 model providers, and a full REPL + UI dashboard in a single Node CLI - no telemetry, no lock-in.

A developer's guide to the missing manual of Agentic AI. Demystifying the confusion between RAG vs. Agents, Tools vs. Skills, and Chains vs. Orchestration with clear mental models and code examples.

A public toolkit for MCP servers and Claude Code Skills, starting with the DS Worker MCP.

Full-stack web UI for managing Claude Code configuration agents, commands, skills, workflows, MCP servers, and settings with built-in terminal and chat.

Use when a task is complex, ambiguous, architectural, debugging-oriented, refactoring-heavy, strategic, causal, performance-sensitive, security-sensitive, multi-file, high-impact, or likely to suffer from hallucinated verification. Builds a disk-backed causal workspace before answering, planning, or modifying files; avoid for trivial edits, simple formatting, and direct factual answers.