Marketplace de agentes

Build, Manage and Deploy AI/ML Systems

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

🧱 easy and fast microVMs for running untrusted workloads

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

Democratizing Reinforcement Learning for LLMs

持续维护的企业面试题库网站，帮你拿到满意 offer！⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮

Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.

Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.

Realtime infrastructure for multiplayer apps and agents

The easiest way to use Agentic RAG in any enterprise

🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

Lightweight, fast, stable, programmable component-based rule engine — where AI Agents orchestrate just like ordinary components. Uniquely designed DSL: component reuse, sync/async & dynamic orchestration, multi-language scripting, nested rules, hot deployment and smooth refresh. If you can orchestrate LiteFlow, you can orchestrate AI.

162 production-ready AI agent templates for OpenClaw. SOUL.md configs across 19 categories. Submit yours!