Deterministic MCP-first browser automation runtime for coding agents Below are 39 autonomous agents & workflows apps with similar functionality to agentyc, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Chaos proxy for testing LLM agent resilience — inject faults like latency, errors, and bad responses. Supports OpenAI, Anthropic, and MCP.
AgentX - Native compiled Python agent framework
Autonomous Offensive Security Intelligence - AI-powered penetration testing
Agent testing SDK. Instrument, assert, classify.
Multi-agent orchestrator for AI coding tools
<!-- ~ 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
<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🤖 👨💻 Agent Codemode [](https://pypi.org/project/agent-codemode) **Generate programmatic tools from MCP Servers and Skills.** ## What is Agent Codemode? Agent Codemode generates **programmatic tools** from two sources: 1. **MCP Servers** - Connect to any MCP server and generate typed Python bindings for its tools 2. **Skills** - Reusable code patterns that compose multiple tools into higher-level operations These programmatic tools can be: - **Used directly by an agent** - Import generated bindings and call tools from your agent's code - **Exposed as an MCP Server** - Serve the generated tools via MCP protocol for any MCP-compatible client <p align="center"> <img src="https://images.datalayer.io/products/mcp-codemode/demo-claude-list-tools.png" width="55%" alt="" /> <img src="https://
CLI tool for deploying and managing AI coding agent configurations (MCP servers, skills, instructions) across multiple providers.
MCP server that diagnoses why your agent behaved the way it did, and how to fix it
Multi-Agent framework
Minimal stdio MCP server for parallel task execution by AI agents
Self updating package for generating random user agent strings.
A multi-agent AI coding system with built-in RAG — local or cloud, CLI or API.
Language-agnostic correctness checker for scientific numerical code
Thin CLI + MCP client for Agent-CoreX — execute any task with a single query
Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration
Security harness for AI coding agents (Claude Code, Codex CLI, etc.) — mitmproxy payload inspection + TOML policy control.
Evaluation harness for real headless CLI agents - reproducible multi-turn scenarios, rule + LLM scoring, cross-agent comparison
agentao is an open-source governed agent runtime designed for running AI agents locally with a focus on privacy and embeddability. It supports multimodal agents, integrates with MCP, and is suitable for developers building private, local-first AI solutions.
AI-powered IRC agent with multi-provider LLM support
A microkernel-style agent framework
Contract-based testing framework for LLM agents — hybrid metrics (objective + LLM-as-judge + human), multi-agent and A2A protocol support, deterministic record/replay envelope.
A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot
Local-first diagnostics for MCP and AI coding-agent plugin setups.
Local AI-agent usage analytics and persona archetypes
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
agnt is an open-source MCP server designed for AI coding agents. It provides process management, reverse proxy with traffic logging, browser instrumentation, and a sketch mode for agent development. Ideal for developers building or managing AI agent frameworks.
Biologically-Inspired Agent Architecture — agents as living organisms, not task executors
Lightweight framework for rapid agent-based development
MCP server that analyzes codebases and generates AGENTS.md files
Agent Building Blocks for Meshagent
Clone AI agent configurations into any project
A suite of AI-powered command-line tools for text correction, audio transcription, and voice assistance.
Local-first AI Agent for Mac. Zero cloud dependency.
Vite-style CLI scaffolder for production-grade Agentic AI projects in Python
agentu is an open-source AI agent runtime designed for developers to run autonomous agents with tool isolation, self-correction, and permission scoping. It provides a CLI interface and is suitable for building secure, extensible AI workflows.
A CLI-driven virtual filesystem for AI agents
Agent evaluation toolkit
appsec — an application-security agent (greenfield AgentCulture sibling).
