An official Docker AI Agent builder and runtime that enables multi-agent orchestration, model-agnostic scheduling, and OCI-standard distribution through declarative YAML/HCL configuration.
An enterprise-grade open-source MCP server by Google, supporting unified access, NL2SQL, and security control for 20+ databases, acting as a middleware control plane connecting AI agents and IDEs directly to enterprise databases.
An open-source, OpenTelemetry-native observability platform integrating logs, metrics, traces, and alerting, with built-in LLM observability and AI Agent debugging, positioned as an alternative to commercial APM tools like Datadog.
A native MCP Server implementation for Kubernetes and OpenShift, enabling AI Agents to directly manage cluster resources with CRUD operations, Pod management, Helm/Tekton/KubeVirt toolsets, read-only mode, and multi-cluster support.
Autonomous plan execution with Claude Code — a CLI tool that orchestrates task-by-task implementation and multi-stage code reviews
GitHub's official MCP Server enabling AI assistants to interact directly with GitHub repositories, issues, PRs, and actions, supporting both remote and local Docker deployments.
Open-source, secure, and elastic infrastructure for running AI-generated code, offering sub-90ms sandbox provisioning, LSP support, and persistent environments.
An official open-source AI agent runtime and builder by Docker. Written in Go, it supports zero-code agent creation via declarative YAML, featuring multi-agent orchestration, MCP tool integration, RAG capabilities, and OCI image distribution.
A persistent, containerized multi-member AI agent system where each bot runs in an isolated containerd container with structured long-term memory, supporting Telegram, Discord, Lark platforms and MCP protocol extensions.
An all-in-one AI agent development platform with visual tools that simplify the creation, debugging, and deployment of AI agents, allowing developers to focus on creating core AI value.
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