Top AI Router 2026: Split Codex for Quick Code & Claude for Complex Refactoring
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Updated
Jul 8, 2026 - HTML
Top AI Router 2026: Split Codex for Quick Code & Claude for Complex Refactoring
Host-aware model routing for coding agents. Python library + MCP server for Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Aider.
Autonomous agent OS: multi-agent system that turns GitHub issues into shipped PRs — task routing, self-healing CI, sprint planning, zero human intervention
A simple library (node module) for Cisco Unified CCE Task Routing
[CVPR '23] Towards Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
A lightweight task routing protocol for AI agents. Agents publish tasks and other agents claim them based on capability.
AI AnswerBot with Task Routing: An AI assistant system that routes user questions to specialized agents (Math, Weather, QnA) via a microservice architecture. Containerized with Docker, deployable on Kubernetes, and features automated and manual testing. Suggested tags: AI, chatbot, microservices, Kubernetes, Docker, Python, automation.
Three-mode triage station for ambiguous requests (growme + change + improve). Native Chinese scenarios, cross-runtime neutral, 30+ skill routing table.
AgentRX diagnoses AI tool-chain failures and prescribes the next best action. Covers skills, MCP servers, plugins, built-in tools, agents, workflows, and hooks. Task-first, not tool-first.
Cross-platform multi-provider LLM ticket router & AI coding agent triage console. Files structured tickets, scores, and routes to Claude Code, Codex, and Gemini.
Task routing and orchestration control plane for teams running multiple AI agents.
A local multi-agent AI chat workspace with model routing, presets, and real-time room updates.
Python based concurrency model leveraging the strengths of both async and threading.
Multi-agent AI workflow platform with task orchestration, memory, tool usage, and autonomous execution pipelines using LLMs.
Smith: a meta-agent for Hermes Agent — build agent profiles from chat, auto-route Kanban tasks to the right agent
Agent Handoff Protocol — a packet-based protocol for explicit agent task handoff, lifecycle state, and completion reporting
Thin routing layer for AoA: explicit navigation, typing, dispatch hints, and derived cross-repo entry surfaces without replacing source truth.
Task routing layer for assigning work to agents, workers, or tools based on task type, context, rules, and execution constraints.
Provides intelligent context-aware assistance by combining multiple AI capabilities into a unified OpenClaw interface
Route an engineering backlog into the right AI coding agent: high-volume and review tasks to OpenAI Codex, deep refactor/architecture/ambiguous tasks to Claude Opus 4.8. Deterministic, auditable keyword routing with rationale. Stdlib only.
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