Маркетплейс агентов

Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.

Agent Framework Samples - showcasing ways in which agent framework can be utilized.

A Systematic Survey of Deep Research

Claude Code plugin to consult multiple AI coding agents (Gemini, OpenAI, Grok) for diverse perspectives

A Raycast extension for creating powerful, contextually-aware AI commands using placeholders, action scripts, selected files, and more.

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: agent runtime cost controls, emerging agent runtimes, and production AI workflow patterns.

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Mantis Hack

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

Enterprise AI Capability Platform for Java/Spring Boot. Register business APIs as governed AI capabilities, compose Agents with GraphSpec, Runtime, MCP/A2A/Gateway, RunOps and Trace. 企业智能体开发框架-把 Java 企业系统中的接口、领域方法、知识、模型和流程，沉淀为可治理、可编排、可开放的 AI 能力资产。

Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.

Agentica: Lightweight async-first Python framework for AI agents. 轻量级异步优先的AI Agent框架，支持工具调用、RAG、多智能体和MCP。

Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

Multi-Agent Collaboration Platform✨

Give you decision-ready references for the most common AI engineering problems

The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

Deep Reinforcement Learning in C#

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.

Design notes, architecture, and trade-offs for MyInvestPilot — an AI-native investment OS built with agent-driven development, DSL engine, and solo company tech stack.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.

The specification for the Universal Tool Calling Protocol