Top AI Router 2026: Split Codex for Quick Code & Claude for Complex Refactoring
Task-level model routing through persistent subagents, with local-first GUI and CLI orchestration
Multi-agent orchestrator — route tasks across Claude, Codex, Gemini, agy, opencode. Model selection + escalation + output aggregation.
Autonomous agent OS: multi-agent system that turns GitHub issues into shipped PRs — task routing, self-healing CI, sprint planning, zero human intervention
Host-aware model routing for coding agents. Python library + MCP server for Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Aider.
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
Coding Agent Governance: deterministic scope, evidence, and closure for AI coding-agent workflows.
A lightweight task routing protocol for AI agents. Agents publish tasks and other agents claim them based on capability.
Capability-based task routing for distributed worker nodes. A thin, transport-agnostic coordination layer that connects, authenticates and dispatches work across self-healing nodes — with token auth and live SSE events. Federation is on the roadmap.
Archived predecessor for the AoA routing ABI; canonical routing and Agent OS control-plane work live in aoa-sdk.
Smith: a meta-agent for Hermes Agent — build agent profiles from chat, auto-route Kanban tasks to the right agent
A local multi-agent AI chat workspace with model routing, presets, and real-time room updates.
Three-mode triage station for ambiguous requests (growme + change + improve). Native Chinese scenarios, cross-runtime neutral, 30+ skill routing table.
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.
Multi-agent AI workflow platform with task orchestration, memory, tool usage, and autonomous execution pipelines using LLMs.
Python based concurrency model leveraging the strengths of both async and threading.
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.
Task routing and orchestration control plane for teams running multiple AI agents.
Task Compass Skill: deterministic, auditable task routing for AI agents and OpenClaw
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