Agenten-Marktplatz

MineStudio: A Streamlined Package for Minecraft AI Agent Development

CAIPE: Community AI Platform Engineering Multi-Agent Systems

AEO Automation Framework for Claude Code One-click, beginner friendly automation for GitHub. Includes a dedicated fleet of AEO sub-agents handling planning, execution, reports, actionable items, and executive summaries. Trigger work instantly with AEO slash-commands. Fully integrated as a Claude Code Skill and usable across Claude AI App

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Unified CloudOps platform with AI-SRE, AI-FinOps, AI-K8sOps, and the Agentic Automation Builder without fragmented tools, context switching, or model lock-in.

The collaboration layer for your AI workforce. Run a team of AI agents that coordinate over email, share memory, and get better with every task.

Build organizations of OpenClaw agents that coordinate work across Codex, Claude Code, Cursor, OpenCode, and more 🐐 🐐 🐐

[Successor: Hive — https://hivehq.dev] Original neutral orchestration layer for Claude Code, Codex CLI, Gemini CLI, OpenCode, Qwen Code. New work continues in Hive.

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

The functional, composable, and typescript-first AI Agent framework for real-world LLM Apps.

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

terminally online

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README)

A Massively Parallel Large Scale Self-Play Framework

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Multi-agent orchestration system for Claude Code with parallel execution, automated quality gates, Board of Directors, and bundled Superpowers skills

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Open-source autonomous AI agent orchestrator

Orchestrate an entire AI dev team on 5GB VRAM. Ephemeral subagents, exact-match diffs. Single static binary, any model. Zero config, zero context bloat.

Restack AI examples for Python

Building a Multi-Agent AI System with LangGraph and LangSmith