Маркетплейс агентов

🌋 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!

EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration.

Aiden — Autonomous AI agent that operates your computer with prompts: browser control, terminal execution, workflows, tools, recovery systems, and persistent memory. Built solo. AGPL-3.0.

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

[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"

Create Agentic admin panels faster on TypeScript and Vue.js with AdminForth Framework. Setup main CRUD pages within minutes, extend as you need

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.

Enhance LLM agents with rich tool APIs

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/