Where people and agents build in tune.

Rooms for people and agents.

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

A browser runtime that lets AI agents control your real Chrome browser via MCP. Agents can explore websites, generate operation manuals, and reuse them to save tokens. AI操控你的真实浏览器。

Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.

The skill layer for AI agents: npm for AI Agent Skills.

Governance standard and reference toolset for LLM-maintained knowledge corpora

oo is OOMOL's CLI toolkit. Everything can be done in the CLI.

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

An ultra-lightweight, sovereign logic execution engine powered by Go. Run APIs, cron schedules, templates, and background tasks on a custom stack-based bytecode virtual machine with nanosecond precision.

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Practical techniques for coding with ai assistants (Claude Code, Codex CLI, Cursor, GitHub Copilot, etc). Available in: English • Español • Deutsch • Français • 日本語

Make your AI coding tools work as one team. Route jobs across Claude, Codex, Cursor, Devin, Gemini, OpenRouter, and local models, carry your setup with them, and track every cost.

Orchestrate AI coding agents (Claude Code, Codex) as parallel subagents over tmux — a loop-engineering runtime with auto-continue, execute-then-review, and cross-session memory.

Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.

Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai