Agent Marketplace

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.

MCP server to verify and timestamp document hashes on Hedera mainnet

Manusclaw: Unleash self-reasoning CLI beasts to execute code, browse the web, and dominate tasks — across 12+ messaging channels, with voice wake, live canvas, SSH control, and multi-agent routing. No limits. Pure power.

A terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!

JL Engine Local is a local ai agent stabilization layer With a focus on ai personality. Including an Emotional and speach rythum focused control protocol + headless engine and more.

A local AI agent platform for people who want broad, real-world automation with a design that makes powerful actions safer and easier to predict

let LLMs control your desktop for tasks

Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.

Nevron: highly customizable, extremely lightweight and fully scalable AI Agent Framework

An enterprise framework implementing the Agent Operation Authorization protocol with cryptographic identity binding, fine-grained authorization, and semantic audit trails for secure AI agent operations.

Another curated list of Python frameworks

Task Planning and Tracking toolset for Pydantic AI agents, enabling hierarchical task management with subtasks, PostgreSQL storage for multi-tenancy, and an event system for webhooks and callbacks.

A declarative way to control LLMs.

tinyAgent uniquely treats functions as first-class citizens, easily transforming them into powerful AI tools. Inspired by human organizational structures, it dynamically orchestrates specialized agents, balancing security and capability for complex tasks.

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Create custom DevOps AI agents that understand and manage your infrastructure.

🏆 Ranked list of 167 AI agent harnesses, plus copy-paste templates (AGENTS.md, safe Claude Code settings, a minimal harness) and step-by-step playbooks. MCP server, llms.txt & JSON. Rescored weekly.

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

An agent orchestration framework for economic agents

小龙虾 openclaw 的 onebot 接入框架，可用于接入 QQ

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

2000+ free N8N AI automation workflows. Discover, copy and use in your projects.

The original Tiny Claw as your personal autonomous AI companion. 🐜