Marketplace de agentes

Flink Agents is an Agentic AI framework based on Apache Flink

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

A no-code 3D playground to explore, design, and interact with Agentic AI systems

AI frontend

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!

A curated collection of AI tools, utilities, and resources for developers and creators

Admin panels for humans and AI agents. Let agents search, update, and act on your data through built-in chat or MCP, with the same permissions as your team. Open-source and self-hosted.

Open-source graph database superpowers for your existing Postgres data.

A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.

Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.

KohakuTerrarium is a general-purpose AI agent framework and batteries-included app for building, running, and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, persistent sessions, TUI, and web UI.

Agentic RAG R1 Framework via Reinforcement Learning

基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界

Privacy-first personal AI assistant platform with autonomous agents, tool orchestration, and multi-provider support.

claude code hooks - adding voice on each hook

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

🌟 Open Source AI Agent Security Infrastructure — intercepts and blocks dangerous agent behaviors before they happen. Just one command! Join us to build safer Human-AI Symbiosis!

LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.