"AnyTool: Universal Tool-Use Layer for AI Agents"
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Updated
Feb 28, 2026 - Python
"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.
Multi-Agent Context Enrichment System with Auto-Detection and Tool Orchestration
Behavioral Memory for Tool Orchestration — Validated execution traces as memory for MCP-based agent systems. Based on IEEE paper.
Production multi-agent system: LangGraph supervisor graph, MCP tool server, ChromaDB memory, SQLite observability, FastAPI — runs free on local Ollama.
Deterministic AI agent framework orchestrating ML inference, web evidence retrieval, and explainable critique with structured trace logging.
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.
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