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TranslatedOfficial documentation for Kuboard v4 (bilingual, zh/en): Kuboard is a microservice management interface based on Kubernetes. This repository is the source code of the v4 documentation site, covering installation and upgrade, cluster management, workloads, networking, storage, Kuboard MCP, and more.

Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.

Fast, concurrent, streaming access to Amazon S3, including gof3r, a CLI. http://godoc.org/github.com/rlmcpherson/s3gof3r

Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.

  • cloud-infrastructure
  • devops
  • devops-tools
  • multi-cloud-environments

REST framework for Delphi: JAX-RS style resources and routes, servers and clients, JWT, OpenAPI 3, FireDAC and Devart UniDAC/MyDAC/IBDAC, SSE, MCP servers for AI agents. Windows, Linux, Docker.

Go AI SDK, the Go way. One unified API across 21+ providers. Streaming, structured output, MCP support, stdlib only. Go AI SDK for AI applications inspired by Vercel AI SDK.

Access control for AI agents. Set what Claude Code, Codex, Gemini, Cursor and any MCP server are allowed to do, review risky actions before they run, and keep every action on the record.

Multi-agent orchestration & workflow engine. Declarative YAML workflows, LLM coordinator with hub-and-spoke mailboxes, race-safe delivery. One YAML file, one Go binary. Runs on any goai-supported provider.

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.

Open-source AI study companion — Google Classroom sync, Gemini AI plans, SRS flashcards, GPA predictor, AI quiz, MCP server for Claude Code. Try demo at shiori-v1.vercel.app

Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.