Coordination Engineering
Top open-source Coordination Engineering AI systems, agents, and MCP tools.
Discover and install verified Coordination Engineering AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (11)
Open in Advanced FilterBuild stateful agent workflows with typed outputs, reusable tools, session forks, and ordinary TypeScript.
🤖 A unified AI agent orchestration system featuring 10's of specialized agents across 14 categories for modern software development. Built with advanced coordination intelligence, resilience engineering, and structured logging capabilities.
Self-hosted AI memory and MCP coordination for coding agents. Persistent context across repositories and sessions, with knowledge graphs, hybrid search, and a desktop web UI. Built in Rust for Codex and Claude Code.
Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.
Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.
🧠Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.
Next-Gen Multi-Agent Swarm Orchestration Engine. Coordinate 50+ LLM nodes (GPT-6, Claude 5.5, DeepSeek-V4) in a high-speed mesh network. "Redefining enterprise AI infrastructure. The operating system for collective machine intelligence in the AGI era."
Autonomous agent substrate for Claude Code CLI. Research→Plan→Implement workflows with quality gates, TDD enforcement, and multi-agent coordination. 4.8-5.5x faster development. Built on Anthropic's engineering research.
Portable CC-inspired skills for memory, verification, multi-agent coordination, context compression, and proactive coding-agent workflows.
Agent skill for harness engineering — memory, permissions, context engineering, multi-agent coordination. Distilled from Claude Code, with Codex CLI and Gemini CLI on the roadmap. EN/ZH. Install via npx skills add.
A 7×6 framework for agent architecture. 28 patterns, each placed at a coordinate, runnable Python code with verified engineering slices from Claude Code, Aider, OpenHands, DeerFlow. Companion to Designing AI Agents (Manning) by Jia Huang.
Build & Monetize for Coordination Engineering
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