AI Agent Capability Router for Claude Code, Codex CLI, self-hosted LLM relays, OpenRouter-compatible gateways, and automation workflows.
claude-node lets Python directly run, supervise, and integrate the real local Claude Code runtime. It preserves native CLI capabilities through stream-json, explicit session lifecycle, and process-level control — not another high-level agent framework, but a thin runtime layer for embedding Claude Code into your own systems.
Markdown protocol for multi-vendor AI agent teams — capability cards, bandit routing, and lessons that compound.
Local-first LLM routing layer for agentic coding workflows, provider delegation, and cost-aware subagent execution.
A local-first home for AI agents, routing tasks to the right model while keeping your workspace flexible, private, and resilient.
Internal routing component and reference registry for Codex skills
Route tasks between Claude Code and Codex CLI — Subscription Efficiency Maximizer for AI coding subscriptions (40ドル-400ドル/mo)
A model-agnostic Agent Skills library for explicit routing, bounded context, and verifiable agent behaviour.
Intelligent MCP router for AI subagents with config-driven rules and LLM semantic tagging
Deterministic, auditable agent/skill dispatch for Claude Code. A typed seven-decision scoring kernel runs after the router has read the conversation — post-cognitive routing instead of prose-scanning. Auto-generates its catalog from skill sidecars and agent frontmatter.
Letitbe Router: semantic routing plus adaptive limit-aware scheduling for AI agents and models
A human-in-the-loop routing layer that works with the Governance Gate (WHAT is allowed) to ensure every agent action is routed, approved, and auditable.
This Python tool employs multi-agent routing to efficiently handle diverse tasks: one agent generates QR codes, while another retrieves and processes data from a CSV file. Depending on the user's query, the appropriate agent is dynamically selected to provide accurate responses or actions.
The Registry Pattern for AI Agents: Build, Connect, and Route Multi-Agent Systems with Ease.
Simulated AI-agent architecture workbench with provider routing, queueing, deterministic output, metrics, API, and dashboard.
Lightweight AI Agent Protocol Enforcement Engine — Make your AI coding assistant follow the rules mechanically
NEXUS — Autonomous multi-agent framework with per-agent LLM routing, error learning, RAG, ReAct planning and 44 tools
A local multi-agent AI chat workspace with model routing, presets, and real-time room updates.
Workflow registry and cost-aware routing policy layer for local coding agents.
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