AI Agent Capability Router for Claude Code, Codex CLI, self-hosted LLM relays, OpenRouter-compatible gateways, and automation workflows.
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Updated
May 9, 2026 - TypeScript
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.
Local-first LLM routing layer for agentic coding workflows, provider delegation, and cost-aware subagent execution.
Markdown protocol for multi-vendor AI agent teams — capability cards, bandit routing, and lessons that compound.
Route tasks between Claude Code and Codex CLI — Subscription Efficiency Maximizer for AI coding subscriptions ($40-$400/mo)
Intelligent MCP router for AI subagents with config-driven rules and LLM semantic tagging
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.
Lightweight AI Agent Protocol Enforcement Engine — Make your AI coding assistant follow the rules mechanically
The Registry Pattern for AI Agents: Build, Connect, and Route Multi-Agent Systems with Ease.
A local multi-agent AI chat workspace with model routing, presets, and real-time room updates.
Letitbe Router: semantic routing plus adaptive limit-aware scheduling for AI agents and models
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