"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"
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
GenPark AI Agent Skill - Multi-step agent tool DAG orchestrator, topological step execution scheduler, and intermediate argument mapper.
GenPark AI Agent Skill - Multi-step agent tool DAG orchestrator, topological step execution scheduler, and intermediate argument mapper.
🚀 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.
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
The agent-level language for AI-native computation, tool orchestration, and machinespeed workflows.
Universal In-Memory MCP Capability & Execution Hypervisor: Submodular Knapsack Schema Selection, Tarjan SCC Cycle Detection, Sandboxed Adapter Execution, On-Demand Repository Synthesis
Multi-Agent Context Enrichment System with Auto-Detection and Tool Orchestration
AI-powered Telegram assistant built with n8n using modular AI agents, live web search, observability logging, tool orchestration, and safety-controlled actions.
经验驱动的 Coding Agent 工具编排框架 | Experience-Driven Tool Orchestration: 记录、提炼、复用 Agent 的决策 / 工具调用 / Subagent 委派经验,并用冻结的实验规则做可复现验证
Declarative Agent & MCP Orchestration — single MCP endpoint orchestrating multiple backends
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.
Behavioral Memory for Tool Orchestration — Validated execution traces as memory for MCP-based agent systems. Based on IEEE paper.
Experimental AI agent that orchestrates calendar and email tools using Google GenAI and function calling.
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