Supercharge AI Agents, Safely
Deterministic, fail-open tool routing for Hermes Agent with an optional local-model fallback.
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.
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
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.
A governed skill system for long-horizon human-AI collaboration.
Orchestration MCP Server - Routes tool calls to MCP backends
Resource-first MCP hub for routing upstream MCP servers through one small local tool surface.
Intelligent tool routing extension for pi coding agent - automatically selects the best tool stack for each task
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.
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.
Codex-first intelligent skill router for development, creative work, GitHub, docs, recovery, and verification.
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.
Intelligent routing layer for AI agents: recommends the best MCP server and LLM for any task, scored on 132+ real benchmark executions.
Task-aware MCP tool surface router for coding agents
Local-first capability router and safety gate for AI agent tools
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