Agent Marketplace

Introducing the Assistant Swarm. An extension to the OpenAI Node SDK to automatically delegate work to any assistant you create in OpenAi through one united interface and manager. Now you can delegate work to a swarm of assistant all specialized with specific tasks you define.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

The .NET library to build AI agents with 30+ built-in connectors.

API to run VirtualHome, a Multi-Agent Household Simulator

TraceRoot - open-source observability and self-healing layer for AI agents. YC S25

OS-level autonomous AI agent with long-term memory, multi-agent coordination, Titan Chronos scheduler & Moltbot Social Core

large population models

An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.

The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.

xLAM: A Family of Large Action Models to Empower AI Agent Systems

Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across Codex, Claude Code, OpenCode, Cursor Agent, Hermes, OpenClaw, Copilot CLI, and more.

Awesome papers involving LLMs in Social Science.

Spec-driven AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagents, Ralph autonomous mode, cross-model reviews.

AI-based stock analysis and trading system

A collection of multi agent environments based on OpenAI gym.

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

Govern, Observe, Direct - a real-time control room for agent societies

If you can read ~100 lines of Python, you understand agents.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.

Pack and deploy local AI agents for your team in minutes