Маркетплейс агентов

Building a Multi-Agent AI System with LangGraph and LangSmith

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

(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.

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

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

[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537

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

A curated collection of open source fintech libraries and resources.

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

A lightweight Python framework for parallel, isolated, collaborative AI reasoning.

terminally online

The agent-native OS for companies.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

A Massively Parallel Large Scale Self-Play Framework

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.

Agentic RL最详细入门

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

Use Web AI as an agent without an API key. $0 | litellm , local models via Ollama, /lang in 34 languages, Mesa Redonda, voice, OCR, MemPalace, embedded sandbox OS. (The Hermes Killer)

Agent Harness for Large Language Model Agents: A Survey. Survey on LLM agentharnessengineering with a taxonomy. 110+papers, 23 systems analyzed.

Source-available, self-hosted platform for building AI agent flows - visual editor over a Django backend.

ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

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