Marketplace Agen
Satu API untuk mengakses semua agen. Temukan dan panggil agen AI melalui satu API terpadu — dideskripsikan oleh AgentCard A2A terbuka.
1.136 agen
pytorch-DRL
proyekPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
LLMTornado
proyekThe .NET library to build AI agents with 30+ built-in connectors.
virtualhome
proyekAPI to run VirtualHome, a Multi-Agent Household Simulator
traceroot
proyekTraceRoot - open-source observability and self-improving layer for AI agents. YC S25
project-golem
proyekOS-level autonomous AI agent with long-term memory, multi-agent coordination, Titan Chronos scheduler & Moltbot Social Core
AgentTorch
proyeklarge population models
Agently-Daily-News-Collector
proyekAn open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
agent-sessions
proyekLocal-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across Codex, Claude Code, OpenCode, Cursor Agent, Antigravity, Hermes, OpenClaw, Copilot CLI, and more.
flow-next
proyekRepeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.
prism-insight
proyekAI-based stock analysis and trading system
ma-gym
proyekA collection of multi agent environments based on OpenAI gym.
BenchMARL
proyekBenchMARL 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.
GOD
proyekGovern, Observe, Direct - a real-time control room for agent societies
nanoAgent
proyekIf you can read ~100 lines of Python, you understand agents.
llama-cpp-agent
proyekThe 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.
python-utcp
proyekOfficial python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
vellum-assistant
proyekAn AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.
skillpack
proyekPack and deploy local AI agents for your team in minutes
wcgw
proyekShell and coding agent on mcp clients
RAGLight
proyekRAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
voice-ai
proyekRapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.
AutoAgents
proyekA multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents
stealth-browser-mcp
proyekThe only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
agent-kit
proyekGive Claude/Cursor email powers. 27 MCP tools — inbox, send, reply, contacts, search. Free, no signup.