"AnyTool: Universal Tool-Use Layer for AI Agents"

Run Claude Code, Codex, Gemini, Cursor Agent and custom coding CLIs as one unified runtime for claw-style agent systems. Runs standalone, with first-class OpenClaw plugin support.

Claude Code rewritten in Go.. High-performance AI agent harness runtime in Go. MCP server, CLI tool orchestration, session management, Kiro integration. Single binary, zero dependencies.

🛡️ Safe AI Agents through Action Classifier

🚀 MCP Gateway with Semantic Routing — One API for all your MCP tools. Natural language in → right tool executed. Blazing fast (Cerebras) + always reliable (multi-LLM fallback).

AgentGovernor is a declarative AI workflow planner that enables secure, auditable, and cost-efficient MCP tool execution through validated PlanYAML workflows.

Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.

Principal-grade technical reference for agentic AI systems: context engineering, MCP/gRPC/JSON-RPC, hybrid retrieval, memory architecture, tool orchestration, verification loops, and production reliability.

Omni is a governed cognitive runtime focused on observable reasoning, tool orchestration, safety boundaries, and multi-runtime AI execution.

Tool concierge skill for Claude Code — scans installed skills/plugins/agents, recommends a per-stage workflow, and lets you pick which tool runs at each stage.

MCP Wrapper for BEADS is a lightweight and extensible wrapper that enables seamless integration of the BEADS framework as a Model Context Protocol (MCP) server

Declarative Agent & MCP Orchestration — single MCP endpoint orchestrating multiple backends

AI-powered Telegram assistant built with n8n using modular AI agents, live web search, observability logging, tool orchestration, and safety-controlled actions.

Behavioral Memory for Tool Orchestration — Validated execution traces as memory for MCP-based agent systems. Based on IEEE paper.

⚡ Enhance AI agents with AnyTool, a universal layer for fast and scalable tool use, designed for efficient automation across platforms.

Production-style virtual health assistant with identity-scoped retrieval, tool orchestration, and safe benefit explanations. Node/TypeScript.

XY.AI Workbench – Eclipse RCP solution for LLM-augmented workflows. Token-driven intelligence with tool orchestration, RAG, feedback loops, and semantic validation for reliable AI-assisted document processing.

This FastMCP server is based on the Model Context Protocol, which provides structured tool orchestration and context retrieval..

Deterministic AI agent framework orchestrating ML inference, web evidence retrieval, and explainable critique with structured trace logging.

Governed multi-agent enterprise runtime with tool policies, handoffs, tracing, evaluations, red-team scenarios, approval workflows, and audit-ready decisions.