Agenti IA per DevOps e automazione
Agenti IA per DevOps e automazione, invocabili tramite un'unica API unificata.
239 agenti
Agenti per DevOps e automazione
Olares
progettoOpen-Source Personal Cloud OS for Always-On Agents
mission-control
progettoSelf-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
mirrord
progettoRun 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.
whodb
progettoWhere data access meets operational intelligence
solace-agent-mesh
progettoPlatform for building and running AI agents across the full lifecycle — build, test, deploy, monitor, improve. Hosts your agents, runs their tools, and coordinates them over an event mesh, with sessions, artifacts, auth, evaluators, and observability built in.
agenta
progettoAgenta is a workspace where you and your team build agents and automations.
mcp-context-forge
progettoAn 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.
liveblocks
progettoRealtime infrastructure for multiplayer apps and agents
awesome-openclaw-tutorial
progettoOpenClaw 中文教程(4500+ Star · 已出版纸质书):安装、配置、Skills、飞书接入与避坑|作者的 GPT-6 / Codex / Claude Code 新项目见 README 顶部
awesome-openclaw-usecases-zh
progetto🇨🇳 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
codeg
progettoCollaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.
ragapp
progettoThe easiest way to use Agentic RAG in any enterprise
switch
progettoOpen-source AI teammates in Slack, Teams, Discord, Telegram and Mattermost. Self-host it, with any agent harness and any model.
learn-agentic-ai
progettoLearn 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.
harnessrouter
progettoHarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
microfeed
progettoan agentic cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls.
FedML
progettoFEDML - 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.
awesome-openclaw-agents
progetto197 production-ready AI agent templates for OpenClaw. SOUL.md configs across 24 categories. Submit yours!
claude-devtools
progettoThe missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
holmesgpt
progettoSRE Agent - CNCF Sandbox Project
liteflow
progettoLightweight, 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.
awesome-opensource-ai
progettoCurated list of the best truly open-source AI projects, models, tools, and infrastructure.
codeg
progettoCollaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.
Acontext
progettoAgent Skills as a Memory Layer