meshagent-agents Alternatives

Agent security mesh: 27-endpoint proxy + 12 framework SDKs + coding-agent hooks, composing 54 Tessera modules with SPIRE, agentgateway, and OpenTelemetry.

CLI for Meshagent

meshagent-cli is an open-source command-line tool that allows users to interact with Meshagent systems for automation and management tasks. It is designed for system administrators and developers who require CLI access to Meshagent functionality.

Agent Veil Protocol integration for AgentMesh trust engine

meshagent-codex is an open-source CLI tool that acts as an adapter and chatbot for Meshagent app-servers, enabling developers to add conversational interfaces and integrations to their Meshagent deployments.

Lightweight framework for rapid agent-based development

Public Preview — Agent-Lightning RL integration for the Agent Governance Toolkit: governed training with policy enforcement

A multi-agent AI coding system with built-in RAG — local or cloud, CLI or API.

A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot

A minimal, universal agent framework. Zero mandatory dependencies.

Drop-in billing proxy for self-hosted AI agent meshes with Stripe integration and usage tracking

Deterministic MCP-first browser automation runtime for coding agents

A microkernel-style agent framework

Clone AI agent configurations into any project

AgentX - Native compiled Python agent framework

Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration

MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust

agentmesh_nexus is an open-source research prototype providing a viral registry and communication board for AI agents. It enables agent trust exchange and communication, targeting AI researchers and developers exploring agent ecosystems.

Agent identity primitives for AGTP-compliant systems

Agent Knowledge Layer. Extract. Store. Retrieve. Any backend.

<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🧰 Agent Skills [](https://pypi.org/project/agent-skills) **Reusable Agent Skills**: Create, manage, and execute reusable code-based tool compositions for AI agents. For more information, see the [Agent Skills community website](https://agentskills.io), the [specification](https://agentskills.io/specification), and the [integration guide](https://agentskills.io/integrate-skills). ## Overview Agent Skills provides a simple and powerful way for AI agents to build their own toolbox. Skills are Python files that compose MCP tools and other skills to accomplish specific tasks. Agent Codemode consumes skills from this package. If you are using agent-codemode, import skill utilities from `agent_skills`. ### How It Works 1. **Skills are code files**: Python files in a `skills/` directory with asyn

agentmesh_primitives is an open-source Python package that provides shared primitive data models for Agent OS, including definitions for failure types, severity levels, and base structures. It helps developers standardize and streamline agent-based system development.

Evaluation harness for real headless CLI agents - reproducible multi-turn scenarios, rule + LLM scoring, cross-agent comparison

Biologically-Inspired Agent Architecture — agents as living organisms, not task executors

The Agents SDK is designed to provide a flexible, scalable, and efficient framework for building, testing, and deploying LLM agents.

MCP server that analyzes codebases and generates AGENTS.md files

Chaos proxy for testing LLM agent resilience — inject faults like latency, errors, and bad responses. Supports OpenAI, Anthropic, and MCP.

Self-hosted AI agents — streaming chat, tool use, persistent memory, multi-agent teams

Compile a single AI supagent into multiple AI subagents.

PyPI - Agent Marketplace Client