tool-routing

Supercharge AI Agents, Safely

Deterministic, fail-open tool routing for Hermes Agent with an optional local-model fallback.

n2-QLN: Intelligent Tool Router & Semantic Search Layer for MCP. Connect 1,000+ tools through 1 interface. Prevent AI model confusion and maximize context window efficiency

Opencode-Raven keeps noisy tool work behind a focused Raven agent, so your main model gets compact answers instead of raw search results, docs pages, GitHub examples, MCP output, or large MCP schemas.

local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools

AI Workload Control Layer for routing deterministic, reusable, retrieval-needed, tool-needed, and provider-needed work before model invocation.

Semantic routing for MCP tools - .NET library that indexes MCP tool definitions and returns the most relevant tools via vector search

Budget-aware context compilation and context firewall for tool-heavy AI agents.

DeepSeek Harness MCP tool search for large catalogs: 1,000 MCP tools behind 2 MCP-facing schemas, exact-schema calls, allow/deny controls, and a local calculator.

A governed skill system for long-horizon human-AI collaboration.

Orchestration MCP Server - Routes tool calls to MCP backends

Intelligent tool routing extension for pi coding agent - automatically selects the best tool stack for each task

Evidence router & policy engine for coding agents — enforces source choice and proof-of-use through Claude Code hooks, including routes to MCP tools. Local-first; no LLM in the hook loop.

LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.

Resource-first MCP hub for routing upstream MCP servers through one small local tool surface.

Codex-first intelligent skill router for development, creative work, GitHub, docs, recovery, and verification.

Intelligent routing layer for AI agents: recommends the best MCP server and LLM for any task, scored on 132+ real benchmark executions.

Stress-test the tool-routing decision inside an agent loop: audit confusable tools, red-team routing robustness, compare loop strategies, and export failures as training data.

Smart MCP router that routes tools by intent and reduces context rot for LLM hosts